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Loss minimization control of interior permanent magnet synchronous motor (IPMSM) based on approximate calculation Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-18 Jingang Liu, Ruiqi Li, Xianghuan Liu, Jianwen Cheng, Jianyun Zheng, Bohuan Tan
In this paper, loss minimization control method of IPMSM based on approximate calculation is proposed. Firstly, according to the IPMSM mathematical model considering the equivalent iron loss, the loss minimization extreme value is solved by Lagrange equation, and the electromagnetic current variable is eliminated by the equivalent transformation method. Secondly, the relation of dq axis current is
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Durability evaluation and simulation of oven aged tires Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-18 Changda Li, Chen Liang, Donghui Sun, Guolin Wang
Tire durability has been an essential part of passenger and vehicle safety, which usually requires years of road services to test relevant performance. The tire oven aging test has been widely accepted as an accelerated laboratory test to induce large thermal oxidation of rubber compounds with mechanical degradations under high temperatures. Then, the oven-aged tires are tested on rolling drums to
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Cooperative truck platooning trial on Canadian public highway under commercial operation in winter driving conditions Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-18 Luo Jiang, Javad Kheyrollahi, Charles Robert Koch, Mahdi Shahbakhti
Cooperative truck platooning, a convoy of trucks driving together while communicating and coordinating with each other, represents a technology-driven approach to improve energy conversion efficiency, lower greenhouse gas emissions, and enhance road safety. Despite numerous studies have explored these potentials, there is a scarcity of empirical investigations into on-road cooperative truck platooning
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Lidar-based classification and detection system for drivable area on roads Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-17 Rongkun Wei, Yunsong Wei, Yingxue Xiao, Rong Ma
Separating the drivable and non- drivable areas on semi-structured and unstructured roads is an important task for autonomous vehicles to safely and avoid obstacles. Semi structured and unstructured roads have different intensities, normal vector angles, and curvature information than the background, and this paves the way for the design and development of an efficient detection system for drivable
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CL-FDAPF trajectory planner and FO-LADRC motion controller for autonomous sweeper vehicle Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-16 Dequan Zeng, Yiming Hu, Tianfu Ai, Chengcheng Liang, Yiquan Yu, Zhiqiang Jiang
Aiming at keeping safe in time and addressing disturbance of uncertainty, an closed loop forward simulation filtering double-layer artificial potential field (CL-FDAPF) trajectory planner and first order linear active disturbance rejective control (FO-LADRC) motion controller are proposed for autonomous sweeper vehicle. Firstly, the double-layer artificial potential field, which consists of traditional
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An intelligent body frame structure modeling and optimization system based on conceptual design Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-15 Wenbin Hou, Xinyu Wang, Jingfei Han, Zaiqi Yao, Changsheng Wang
The conceptual design stage is an indispensable and important stage in the development of the modern body. However, due to the lack of sufficient body structure parameter support, the design defects generated at this time are difficult to make up for in the subsequent design stage. Therefore, it is of great significance to develop a conceptual design software for body structure that integrates design
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Height control strategy employing AWPSO-fuzzy PID control for electronically controlled air suspension system Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-13 Xiaoqiang Tan, Guangqiang Wu, Yuxin Lai, Jiaming Xu, Yiming Long, Weijun Li, Kai Liu
Electronically controlled air suspension (ECAS) system has been extensively applied in vehicles to increase driving comfort, fuel economy, and operation safety. However, due to the nonlinear and hysteresis characteristics of the ECAS system, accurately controlling suspension height remains challenging. To tackle this problem, a bench test is conducted on the air spring and solenoid valve to establish
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An intelligent human-machine interaction-based longitudinal control strategy for autonomous vehicles Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-13 Ping Liu, Hang Shu, Yunpeng Tian, Yikang Zhang, Weiping Ding, Haibo Huang
In the foreseeable future, the anticipation is that intelligent vehicles will transition to a mode where the intelligent driving system collaborates seamlessly with the human driver. This harmonious integration between the driver and the intelligent control system holds paramount significance for the successful execution of driving tasks, ultimately contributing to the development of more advanced
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Recovery of engine waste heat in low temperature environment of plug-in hybrid electric vehicle Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-13 Yan Zhang, Jianglu Huang, Liange He, Donggang Zhao, Yu Zhao
The performance and life of electric vehicle power batteries will be reduced at low temperatures, and the lower temperature in the electric vehicle will also affect the comfort of drivers and passengers. Taking into account the winter temperatures and the unique drive structure of the plug-in hybrid electric vehicle, a specially designed driving mode for low-temperature environment is implemented.
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Investigation of maximum temperatures in lithium-ion batteries by CFD and machine learning Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-13 Aykut Bacak
Alternative fuels are becoming more popular as awareness of fossil fuel depletion, pollution, and climate change grows. Numerous industrial companies are producing electric automobiles for use worldwide. Electric vehicles’ battery packs’ cooling causes firing due to high temperatures. In this study, the surface temperatures of a single electric battery with dimensions of 160 mm × 210 mm within a battery
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Research on two stage obstacle-avoidance trajectory planning and trajectory tracking control in curves Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-13 Baolong Hou, Qinyu Sun, Yingshi Guo
The existing obstacle-avoidance trajectory planning and trajectory tracking control algorithms have limitations such as long-time consumption, high failure rate in dynamic traffic environments, and insufficient trajectory tracking accuracy in curved roads. Based on the above problems, this paper designs a two stage obstacle-avoidance trajectory planner based on nonlinear optimization theory. In first
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Hybrid model predictive control for vehicle trajectory tracking with integrated attitude adjustment Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-10 Renzheng Yang, Jialing Yao
This paper presents a vehicle trajectory tracking method that integrates attitude adjustment. The method utilizes the asymmetric adjustment of the damping of the adjustable damping shock absorber to lift the left and right vehicle body and carry out the attitude adjustment of the vehicle. Additionally, it actively tilts toward the inside of the curve during turning. In order to address the nonlinear
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Modeling and analysis of center-steering characteristics of variable-configuration wheel-track unmanned ground vehicle based on dynamic resistance Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-10 Yuanjiang Tang, Wenhao Wang, Guanpeng Chen, Xiaojun Xu, Tengan Zou
The variable-configuration wheel-track unmanned ground vehicle (VCWT-UGV) has both fast-moving speed on structured roads and strong passing ability on even roads. Steering dynamics analysis is the theoretical basis to ensure that the UGV can still maintain high maneuverability in complex environments. Based on the elastic-plastic deformation characteristics of the soil on the soft road, considering
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Model-data-driven control for human-leading vehicle platoon Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-09 Junru Yang, Duanfeng Chu, Liping Lu, Zhenghua Meng, Kun Deng
This paper proposes a model-data-driven control method for a human-leading vehicle platoon, comprising a human-driven vehicle (HDV) as the leader and connected automated vehicles (CAVs) as followers. Initially, a representative trajectory of HDVs is constructed using principal component analysis and the K-means clustering algorithm, which is utilized as training dataset. Subsequently, we propose a
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An algorithm for estimating the ultimate speed of vehicles on wet roads Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-09 Jinfei Guo, Bo Li, Shaoyi Bei, Guodong Yin, Lanchun Zhang, Fengjuan Meng, Shaofeng Hu, Walid Daoud, Mengdan Hu
Real-time estimation of a vehicle’s ultimate hydroplaning speed is crucial for ensuring its safety and stability, especially in rainy weather conditions. This paper proposes an algorithm for estimating the ultimate hydroplaning speed of vehicles on wet and slippery road surfaces based on finite element analysis of tire. Using the ABAQUS simulation software, a finite element model of a 205/55 R16 radial
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A predictive energy management strategy for plug-in hybrid electric vehicles using real-time traffic based reference SOC planning Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-08 Rong Wang, Xianrang Shi, Yang Su, Tinglun Song
The fuel economy of plug-in hybrid electric vehicles (PHEVs) is strongly affected by the battery state of charge (SOC) depletion pattern. This paper proposes and studies a real-time traffic-based SOC reference planning method. The method uses a dataset to collect and capture real traffic information and then enriches the dataset using a data augmentation method developed in this paper. The augmented
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Research on collaborative adaptive cruise control based on MPC and improved spacing policy Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-06 Fan Yang, Hongliang Wang, Dawei Pi, Xiaowang Sun, Xianhui Wang
A Cooperative Adaptive Cruise Control (CACC) algorithm based on Model Predictive Control (MPC) and an improved spacing policy is proposed in this study to address the current issues of low road utilization and inadequate dynamic regulation during platoon driving. First and foremost, the state of the leader vehicle and the minimum safe following distance are incorporated into the spacing policy to create
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Reducing vibration and noise in honeycomb structure applied to automobile integrated water tank Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-06 Fei Dong, Wei Hu, Xiaohui Cao, Wenyu Zhang
This work uses modal acoustic transfer vector (MATV) technology in conjunction with vibration response analysis to determine optimal target optimization parameters for automobile integrated water tanks. The effects of square and hexagonal reinforcement honeycomb structures on the vibration damping performance of water tanks are analyzed, using an untreated smooth plane as a reference object. The study
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Design of ABS sliding mode control system for in-wheel motor vehicle based on road identification Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-04 Xiaobin Fan, Mingxin Chen, Shuaiwei Zhu, Shuwen He
Aiming at the problem that the current Anti-lock Braking System (ABS) control algorithm can not make full use of the ground friction to complete the braking when emergency braking on complex roads, an ABS sliding mode control method based on road surface identification is proposed. Combined with the in-wheel motor of in-wheel motor electric vehicle, a coordinated control method of motor regenerative
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Coordinated control scheme of path tracking and yaw stability for four-wheel steering and distributed drive autonomous electric vehicles Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-03 Xianguang Gu, Jilong He, Ping Jiang
To simultaneously improve the path tracking accuracy and yaw stability performance for four-wheel steering (4WS) and distributed drive autonomous electric vehicles under different working conditions, a coordinated control scheme is proposed. Firstly, a model error estimator based on Levenberg-Marquardt back propagation (LM-BP) neural network is designed to compensate the vehicle model errors in model
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Lane-changing decision and planning under humanized games for intelligent vehicles Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-02 Xin Dong, Qinghai Zhao, Jirong Wang, Gaosong Shi
Although autonomous driving vehicles have seen rapid development, their decision-making and planning technologies still fall short of meeting human-centric requirements. To address the issue of personalized driving within autonomous vehicles, a human-like autonomous driving framework is proposed. This framework divides the autonomous driving process into task decision-making and path planning. Firstly
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Investigation on multi-objective following control algorithm for vehicle adaptive cruise control under cruise state Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-02 Hong Yuan, Rui Liu, Lingfeng Zhong, Yourong Zhang, Li Lin, Kaisheng Huang
The following control problem is a challenging issue in vehicle adaptive cruise control. In the control process, multiple objectives need to be considered while ensuring safety. To comprehensively study and evaluate the following control algorithms, this paper establishes a following model, vehicle model, and energy consumption model. After verifying the accuracy of the models, corresponding propo
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Minimum decision of collision injury based on drivable area in unavoidable scene Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-02 Quankai Liu, Bing Zhou, Xiaojian Wu, He Wang, Qingjia Cui
The existing technology for assisted driving collision avoidance has improved the active safety of vehicles, but it is primarily designed for scenarios where collisions can be avoided. It is not suitable for situations where pedestrians suddenly intrude. Therefore, there is a need to develop a control strategy that can minimize collision injuries in unavoidable situations. This study focuses on typical
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Vehicle lane-change intention recognition based on BiLSTM Attention model for the Internet of vehicles Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-04-02 Yufeng Chen, Hanwen Cao, Zhengtao Xiang, Bo Chen, Yingkui Ma, Yu Zhang
In terms of lane-changing and other driver actions, precise identification of the intentions of nearby vehicles is crucial to autonomous vehicle performance safety. At present, research in this domain primarily focuses on ideal environments without considering data packet loss. Therefore, this paper considered the impact of packet loss in the Internet of Vehicles on the performance of the lane change
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Robust model predictive dynamics control for electric tracked vehicle combined with disturbance observer Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-31 Xuzhao Hou, Yue Ma, Changle Xiang
Advanced motion controllers have the potential to make automated or remotely operated vehicles less dependent on human operation. Among the different control strategies, model predictive control (MPC) has proven to have good performance in constrained systems. In this study, a combination of disturbance observer and robust model predictive control is proposed as a dynamics controller for tracked vehicles
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Preview-based terrain adaptive active suspension control strategy for heavy-duty trucks Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-31 Yuecheng Ma, Ming Yue, Chen Xu, Ludian Pang, Jinyong Shangguan
This paper proposes a preview-based active suspension control method for heavy-duty trucks, where the vehicle front wheel terrain preview information is employed to improve the performance of the rear, focusing on enhancing the handling stability and vehicle smoothness. To begin with, the vehicle front wheel preview information is introduced to the half-vehicle model, and a state quantity is employed
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Multi-objective optimization design of rear seat for a passenger car based on GARS and NSGA-III Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-30 Xuan Zhou, Hengliang Jiang, Jiangqi Long
A collaborative multi-objective optimization design is conducted for the rear seat of a passenger car. This study introduces a combined optimization strategy that integrates both the multi-objective optimization problem and multi-criteria decision-making approaches. Firstly, a finite element model of the rear seat luggage compartment crash is established, and its accuracy is validated. Secondly, the
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Deep reinforcement learning algorithm based ramp merging decision model Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-30 Zeyu Chen, Yu Du, Anni Jiang, Siqi Miao
On-ramp merge is a complex traffic scenario in autonomous driving. Because of the uncertainty of the driving environment, most rule-based models cannot solve such a problem. This paper designs a ramp merging decision model based on deep deterministic policy gradient algorithm (DDPG) to solve the vehicle merging problem. To address the problems of slow algorithm merging and poor robustness of previous
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Analysis and design of multi-mode power split hybrid transmission scheme considering mode connection Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-30 Xueliang Li, Yanrong Wang, Xinlei Liu, Zengxiong Peng, Shujun Yang
For heavy-duty truck, multi-mode power split hybrid transmission scheme (MPSHTS) has good adaptability. However, the moment of inertia at both ends of the clutch is large. If there is a large speed difference in the clutch engagement process, it will increase clutch wear, engine stall and other problems. This paper proposed a new design method of multi-mode power split hybrid powertrain, which was
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Wheel slip ratio control considering time delay characteristic for electro-mechanical braking system Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-27 Zhenchuan Jiang, Xing Xu, Hao Zhang, Feng Wang
Electro-mechanical braking (EMB) system is a novel brake-by-wire (BBW) system which is the development direction of the electrification and intelligent vehicle braking system. However, as the EMB contains a mechanical transmission mechanism, there is an inevitable time delay in the braking process, which will cause problems of the wheel slip ratio control. To address this issue, this paper proposes
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A dynamic competitive velocity prediction method based on Markov state space reconstruction Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-27 Rong Wang, Yan Ti, Xianrang Shi, Tinglun Song
Predictive energy management (PEM) strategy has shown great advantages in improving fuel economy for plug-in hybrid electric vehicles (PHEVs). A key technology in PEM is velocity prediction and its accuracy greatly affects the effectiveness of a PEM strategy. This paper proposes a novel dynamic competitive velocity prediction method based on Markov state space (SS) reconstruction. The basic Markov
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Determination of GPS sampling interval for trip energy consumption estimation of electric buses: Analysis of real-world data Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-27 Jinhua Ji, Linhong Wang, Yiming Bie
This paper analyzes the effect of GPS sampling interval on the performance of the longitudinal dynamic model for estimating electric bus trip energy consumption based on real-world operational data. The performance of the estimation model under different sampling intervals is primarily evaluated by the MAE, RMSE, MAPE, and probability distribution functions. It is observed that the relationships between
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Research on the centre-of-mass adjustment method for the head of an anthropometric test device based on a head impact biomechanics model Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-26 Zhengqi Fan, Zhixin Liu, Hai Liu, Weidong Liu, Hanxiao Zhang, Yuechen Ji
Head injury is the primary cause of serious lesions or death in automobile accidents. During crash tests, the mass and centre-of-mass position of the head of anthropometric test devices are crucial factors determining the accuracy of head injury test data. However, owing to the irregular shape as well as complex structure and material composition of the head of dummies, problems such as uneven mass
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Grey wolf optimization tuned drivetrain vibration controller with backlash compensation strategy using time-dependent-switched Kalman filter Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-25 Heisei Yonezawa, Ansei Yonezawa, Itsuro Kajiwara
To improve the performance and durability of vehicle components, efforts have been made to reduce driveline oscillations using advanced active control algorithms. However, existing methods often rely on subjective parameter adjustments, which can be burdensome for designers. This study introduces an effective tuning algorithm for a driveline vibration controller that accounts for nonlinear backlash
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Numerical and experimental studies on the carcass characteristics of a radial tire Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-23 Chao Qian, Pengfei Sun, Shuiting Zhou, Luwen Chen, Guoyun Su, Xin Sun
In this research, the carcass characteristics of a radial tire were analyzed by performing numerical simulations on ABAQUS software based on the single factor control variable method, and the feasibility of the proposed numerical model was verified by executing experiments on a tire uniformity testing machine. It was found that when the tire crossed the bump, the preload had positive effects on the
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Coordinated control strategy of electro-mechanical composite braking for four-wheel drive electric vehicles Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-22 Jin Liqiang, Fan Jiapeng, Teng Fei
Regenerative braking energy recovery technology is critical for electric vehicles, which can significantly improve vehicle mileage. In addition, the regenerative braking system is often used with the friction braking system to provide vehicle braking force. This paper presents an electro-mechanical compound brake control strategy for four-wheel drive electric vehicles equipped with an electro-mechanical
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A macro-microscopic traffic flow data-driven optimal control strategy for freeway Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-22 Jie Fang, Juanmeizi Wang, Lina Fu, Mingwen Lu, Mengyun Xu
To estimate the amount of emissions, most state-of-the-art microscopic emission models, such as VT-micro, takes the individual vehicle speed and acceleration as the model input, which can be collected efficiently with V2I technology. However, there is a gap in freeway traffic control since most of them rely on the macroscopic traffic model and omit the individual vehicle status. To fill this gap, this
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Adaptive coordinated control strategy for improving shift quality under different operating conditions Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-22 Xianhe Shang, Fujun Zhang, Zhenyu Zhang, Tao Cui
In order to improve the shift quality of vehicles under different operating conditions (such as road resistance coefficient and throttle opening), this paper proposes an adaptive coordinated control strategy. This strategy utilizes a Forgetting Factor Recursive Least Squares (FFRLS) to achieve online identification of the road resistance coefficient. Based on the changes in throttle pedal opening and
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Working cycle condition construction for electric wheel loader based on principal component analysis and cluster analysis Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-15 Haoling Ren, Mingkai Xu, Tianliang Lin, Qihuai Chen, Shaole Cai, Tong Guo
With the rapid development of new energy technology, cycle condition is significant for the design of powertrain system, whole machine economy, endurance, and other performance parameters of pure electric drive machines. Many cycle conditions of the passenger car industry have been defined. While that for the loader which has complex operation modes and working conditions, has less research on this
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Designing a time path tracking stabilizing controller for a tractor-trailer robot in the presence of uncertainties Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-14 Zhuo Li, Changjun Yin, Ziting Peng, Chenhang Zhou, Mostafa Jalanezhad
In this article, the discussion of track tracking in tractor-trailer systems with the condition of non-slip and non-holonomic multi-controllers is presented. One of the significant issues in the control of this system is the limitation and saturation of operators, which in real conditions causes serious challenges in the discussion of control and instability of the system. Therefore, the control of
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Energy-saving robust control of active suspension system based on bioinspired reference model Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-12 Wenbin Liu, Mingde Gong, Donghua Zhao, Hao Chen, Dingxuan Zhao
This paper proposes an energy-saving robust tracking control method for active suspension systems with a bio-inspired reference model and nonlinear extended state observer (NLESO). According to the principle of cheetah running biology, a bionic structure with nonlinear quasi-zero stiffness is designed, which also has ideal Sky-hook damping and vibration-absorbing mass. An NLESO is designed to estimate
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Estimation of road friction coefficient based on WOA-BP neural network Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-12 Yiren Xu, Zhongming Xu, Jia Ye, Zhifei Zhang
The road friction coefficient is often estimated based on vehicle dynamics models, but the ideal mathematical model is difficult to describe the actual vehicle operation, which in turn leads to deviations between the estimated friction coefficient and the actual situation. In order to take full account of the actual vehicle driving conditions, back propagation (BP) neural network model is often applied
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Roll stability of all-terrain forklift trucks considering different road types Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-12 Guang Xia, Zhou Dayang, Tang Xiwen, Zhang Yang, Zhao Linfeng
All-terrain forklift trucks often work on complex terrain such as soft and muddy terrain in the wild, making them prone to rolling and rollover. In this work, a seven-degree-of-freedom nonlinear dynamic model and a wheel-ground interaction model between resilient wheels and soft/hard road surfaces based on the structural characteristics of the articulated steering + swinging bridge of an all-terrain
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High authenticity steering feel control strategy for Steer-by-Wire system based on terminal sliding mode rack force observer Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-12 Guobiao Shi, Tingyang Liu, Shuai Wang, Cong Guo, Yu Liu
This article proposes a high authenticity steering feel control strategy for Steer-by-Wire (SBW) system based on terminal sliding mode rack force observer, in response to the issue of how to design the steering feel of the SBW system to reflect road conditions. Firstly, a terminal sliding mode rack force observer is designed to achieve real-time and accurate estimation of steering system rack force
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Speed-based analysis and prediction of fatigue life for the crankshaft via genetic algorithm Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-12 Yang Chen, Xintian Liu, Xu Wang, Yansong Wang
To improve the accuracy of crankshaft fatigue life prediction, a new method for predicting the fatigue life of crankshafts was proposed, considering the influence of rotational speed on fatigue life. This study investigates the relationship between engine speed and crankshaft fatigue life, and the engine speed will obviously affect the fatigue life of the crankshaft. Considering the influence of different
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Database-driven lightweight design for axle housing of heavy-duty truck Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-12 Zhen Zou, Fengxiang Xu, Dewei Wang, Tengyuan Fang, Zhoushun Jiang
Rapid and efficient design methods of axle housing are an increasingly important area for the lightweight design of heavy-duty trucks. Here, a database-driven lightweight design method for axle housing is developed. A theoretical analysis is conducted to explore the relationship between the shape and maximum stress of cross-sections. Subsequently, A double super-ellipse equation is applied to generate
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Estimation of vehicle tire effective rolling radius and vertical wheel/road contact force Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-12 Abderrahmane El Djallil Rabhi, Kada Hartani, Yacine Guettaf
In a vehicle, knowledge of physical wheel/road contact parameters is valuable for the design of dynamic control and active safety systems. In this paper, a new method is designed to estimate the effective rolling radius and the vertical wheel/road contact force using an extended Kalman filter and the Pacejka magic formula. Moreover, it allows the estimation of the longitudinal force, the rolling resistance
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Analysis of longitudinal-vertical coupling vibration of four hub motors driven electric vehicle under unsteady condition Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-09 Qiongyao Li, Conggan Ma, Nic Zhang, Yue Guo, Michele Degano, Chris Gerada, Shengsen Zhou, Yuansheng An
The influence of hub motor unbalanced magnetic force (UMF) on the vibration of electric vehicle under steady state conditions has been known, but under unsteady conditions, the hub motor UMF will change with the vehicle operation condition, and there would exist complex coupling vibration for the hub motors driven electric vehicle. Here, the longitudinal-vertical coupling dynamics of the four hub motors
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An empirical study on the factors influencing the new product development process in Indian automobile industries Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-09 Sharma Rajeev, Pareek Prashant, Patel Malay R
Automobile manufacturing industries are looking at innovative ways to improve their company processes globally to maintain profitability in an increasingly complicated and competitive global market. There is fierce competition in the automotive business, which is evolving quickly. A crucial constituent of an organization’s success, survival, and vitality in such industries is the process of new product
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Protecting occupant in autonomous vehicle accident with rotating seat and belt airbag Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-08 Hequan Wu, Kai Zhang, Lin Hu
In autonomous vehicle, since that occupants no long need to operate the vehicle, they will have time to relax and entertain or communicate with other people. In order to improve the collision safety of the occupants who move freely and have different seat orientation angles in autonomous vehicle, a protection strategy based on the cooperative control of the rotating seat and belt airbag to avoid occupant
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Multi-criteria structural optimization of a hood inner structure using machine learning technique Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-08 Pooya Rostami, Mohammad Afshar, Milad Jahangirpour, Hassan Sayar, Nima Sattar Arjmandi
This article presents an efficient multi-criteria structural optimization process based on machine learning for shape and size optimization of the hood inner. For this purpose, a low dimensional parameterization based on two-dimensional mapping and dimensionality reduction is used to decrease the number of design variables. There are many design parameters to be considered for designing this structure
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Fuel consumption comparative optimization for parallel hybrid electric vehicle based on PSO and DIRECT algorithms Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-05 Naila Ben Halima, Naourez Ben Hadj, Nahla Ben Halima, Rafik Neji
Fuel consumption is a serious environmental issue. Hybrid electric vehicles “HEVs” are highly energy efficient and reduce emissions. Parallel Hybrid Electric Vehicles “PHEVs” are currently the most popular architecture type in the HEV market. A PHEV manages energy between its components based on a proposed fuzzy logic control strategy. This strategy has been well researched and proven to be effective
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Analysis of following vehicle driver injury severity in rear-end collision on straight road based on LightGBM and SHAP Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-04 Tianzheng Wei, Tong Zhu
Rear-end accidents, as one of the common accident types, may cause serious injuries to the driver and passengers. There are mutual coupling effects among causal features of rear-end accidents, and traditional analytical methods may lead to modeling distortion due to assumption constraints. In this study, the Light Gradient Boosting Machine (LightGBM), a machine learning algorithm, is used to model
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Development and challenges of nonlinear dynamic modeling and stabilization control of mobile firing guns Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-04 Yu Chen, Mingliang Xie, Xiaofeng Zou, Jinfeng Liu
The ambiguous vibration characteristics of guns under multi-source strong excitations are the key technical bottlenecks that restrict the development of mobile firing guns with high firing accuracy. The development and challenges of nonlinear dynamic modeling and stabilization control of mobile firing guns such as tank guns are discussed and analyzed from three aspects: dynamic numerical simulation
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Design and optimization of driving mode control strategies for front-and-rear-axle-independent-drive-type electric vehicle Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-04 Li-hua Ye, Cheng-long Ke, Ye-fan Shi, Hou-zhong Zhang, Xing Cheng, Zi-xing Zhang, Ai-ping Shi
In order to fully exploit the energy-saving advantages of front-and-rear-axle-independent-drive-type electric vehicle (FRID EV) configuration, this paper designs a drive mode control strategy for it. Based on the characteristics of the drive system with FRID EV, this paper categorizes the drive modes into three, and creates a mathematical model to determine the operating range. Then, an improved particle
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Coupled occupant-suspension-seat system analysis and vehicle-specific design optimization Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-04 Darshan Vishnu Dorugade, Subhash Rakheja, Zhou Zheng, Paul-Émile Boileau
A suspension seat is generally designed to achieve attenuation of low frequency whole-body vibration for a broad range of vehicles. Owing to the strong dependence of its vibration isolation performance on the nature of vibration excitation, an optimal performance could be realized via optimal tuning of suspension for specific classes of vehicles. In this study, a coupled occupant suspension seat model
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Dynamic characteristics analysis of gear tooth modification in a three-stage gear system Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-03-01 Mahmoud Mabrouk, Hui Liu, Yan Pengfei, Gao Pu
Gears serve as vital elements in high-efficiency mechanical transmissions, playing a pivotal role in vehicles. Employing gear modification has the capacity to significantly enhance the dynamic properties of the Planetary Gear Transmission (PGT) systems. In this study, the investigation has been directed toward a three-stage PGT model system with a comprehensive consideration of various vibration-related
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Tire noise prediction based on transfer learning and multi-modal fusion Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-28 Chen Liang, Menglong Hao, Yucheng Shen, Haoweng Li, Junwei Fan
Vehicle traffic noise has become an important factor in urban noise pollution. With the increase in the number of new-energy vehicles, the current situation of tire/road noise as one of the main noise sources of automobiles is becoming increasingly prominent. Tire noise prediction is the basis for optimizing the design of low-noise tires, providing a reference basis for tire design with low-noise performance