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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
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Analysis of tire frictional energy loss based on longitudinal slip test Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-28 Lu-Wen Chen, Peng-Fei Sun, Shui-Ting Zhou, Yue Li, Chao Qian, Xin Sun
Longitudinal slip tests of the 215/55 R17 tire were carried out using a six-component tire bench test instrument. By comparing with Abaqus simulation data, the longitudinal forces and slip ratios of the tire with a constant tire pressure under different speeds and vertical loads were analyzed. A tire finite element model was established, and the energy loss of the tire under the action of ground friction
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Performance enhancements of semi-active vehicle air ISD suspension Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-26 Yujie Shen, Ang Chen, Fu Du, Xiaofeng Yang, Yanling Liu, Long Chen
To explore an innovative approach for enhancing the vibration isolation performance of vehicle air suspension systems, this study introduces the inerter element into the vehicle air suspension and investigates the dynamic behavior of the semi-active vehicle air ISD (inerter-spring-damper) suspension. Initially, a dynamic model of the quarter semi-active vehicle air ISD suspension is established, followed
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Research on temperature field and friction wear of friction partner of composite synchronizer ring Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-26 Qinghua Li, Kai Xiao, Siyuan Cheng, Chunyu Wang, Shihong Zhang
In order to ameliorate the changes in friction material properties caused by the local high temperatures and contact wear generated by the synchronizer friction pair during the gearshift process. A composite synchronous ring using carbon fiber composite material as friction material is proposed. The temperature field characteristics of the working surface of the friction sub-side of the composite synchronous
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Symmetric laminates for enhanced tire durability: A numerical study on belt edge separation Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-23 Ankush Yadav, Ankur Gandecha, Jitendra Mahajan
Tire failure due to belt edge separation is a common issue caused by various factors such as adhesion loss, high heat generation, and interlaminar shear. This research paper focuses on studying the phenomenon of belt edge separation in tires by investigating the effect of belt lay arrangement on this failure mode. The study examines two types of belt arrangements, namely Symmetric and Asymmetric, in
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State estimation of a novel brake-by-wire system based on cascade observer Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-23 Lingtao Wei, Zheng Zhu, Yicai Liu, Xiangyu Wang, Liang Li
Pressure regulation is the primary function of the brake-by-wire (BBW) system, and its prerequisite is the precise pressure acquisition. In autonomous vehicles(AVs), a higher fail-safe level is required that a backup pressure source is available when the main pressure source fails. So the use of pressure sensors, like the existing method, for pressure regulation will increase the cost of BBW systems
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Integrated control of anti-rollover for high-mobility emergency rescue vehicles Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-23 Donghua Zhao, Mingde Gong, Dingxuan Zhao, Wenbin Liu, Jinming Chang, Jiahao Tang
In this paper, an integrated anti-rollover control strategy is proposed to solve the rollover stability problem of emergency rescue vehicles. The integrated anti-rollover control is performed on the Active suspension system and the multi-axle steering system. Firstly, establish an eleven-degree-of-freedom coupled dynamic model for the vehicle; Secondly, the H∞/generalized H2 output feedback controller
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A preview SMC driver modeling and simulation for the B-train doubles Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-22 Zhaowen Deng, Junzhu Wang, Youqun Zhao, Wei Gao, Shuqian Zhang, Baohua Wang, Yufeng Chen
B-train doubles have existed a greater risk of causing accidents. The research on the driver model for combination vehicles is crucial to the active safety control of B-train doubles. The direction control of the driver model forms an invaluable part of the closed-loop simulation of the human-vehicle-road system. Meanwhile, studies of driver models for long combination vehicles (LCVs) are limited.
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Research on fault diagnosis of electromagnetic active suspension based on double observer intelligent switching Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-21 Liping Wu, Ran Zhou, Guang Yang, Fangchao Xu, Junjie Jin, Chuan Zhao, Koichi Oka, Feng Sun
Electromagnetic active suspension can adjust stiffness and damping and is widely used in suspension. When the electromagnetic active suspension fails, the observer can be used for fault detection. In order to realize suspension fault detection under all road conditions, a double observer switching strategy is designed and simulated using MATLAB. Firstly, the switching strategies of the Kalman observer
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Numerical modeling and experimental validation of power loss and efficiency in an electric-drive axle system Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-21 Qin Wang, Di He, Liangjin Gui, Zijie Fan
Power loss and efficiency are pivotal performance metrics significantly impacting the quality of electric-drive axles. This study outlines a numerical method for determining the electric-drive axle system power loss, which includes gear meshing, gear churning, and bearing power losses. Power loss from gear meshing was calculated by analyzing load distribution and friction coefficient. The frictional
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Electromechanical coupling dynamics of dual-motor electric drive system of hybrid electric vehicles Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-19 Shuaishuai Ge, Shuang Hou, Zhigang Zhang, Huan Wang, Wenli Li
In this study, to investigate the electromechanically coupled dynamics of a dual-motor electric drive system (DEDS) of hybrid electric vehicles under typical conditions. Considering the time-varying stiffness of gears, a dynamic model of the gear system and permanent magnet synchronous motor (PMSM) was developed, and a comprehensive electromechanical coupling dynamics model of DEDS applicable to coupling
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Integrating deep reinforcement learning and social-behavioral cues: A new human-centric cyber-physical approach in automated vehicle decision-making Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-19 Hamid Taghavifar, Ardashir Mohammadzadeh
This paper proposes a novel human-centric approach to enhance decision-making for autonomous vehicles in complex urban driving situations by integrating Deep Q-Network (DQN) reinforcement learning and social value orientation. In the proposed method, a deep neural network (DNN) is employed to approximate the optimal Q-values for various states and actions in the space of possible actions and reachable
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Research on robustness of intelligent vehicle longitudinal active collision avoidance system based on equivalent external interference Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-19 Chaochun Yuan, Yang Xiao, Jie Shen, Long Chen, Yingfeng Cai, Youguo He, Shuofeng Weng, Yuqi Yuan, Yuxuan Gong, Qiuye Yu
The rate of fatal traffic accidents caused by sudden risks such as pedestrians crossing the road in violation of regulations and goods falling in front of the vehicles has remained high under the complex dynamic environment. The appearance of sudden obstacles/pedestrians will indirectly trigger sudden changes in sensor signals and control signals, and cause the drivers’ improper driving behaviors.
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Research on collision warning strategy considering characteristics of drivers and road conditions Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2024-02-19 Shuo Bai, Yongjun Yan, Jingyu Hu, Haonan Ding, Lilin Shen, Zhongtao Wu, Guodong Yin
Collision warning strategy considering different characteristics of drivers and complex road conditions is of great importance for active safety control of autonomous vehicles. However,existing estimation methods for Tire-road friction coefficient (TRFC) cannot deal with the problem of estimation accuracy degradation caused by state mutation. Therefore, an adaptive cascaded strong tracking unscented
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Quantitative research on vehicle energy consumptions based on the longitudinal-vertical dynamics of the tracked vehicle Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-15 Zhiqiang Guo, Chunwang Liu, Junlin Luo
In this paper, a longitudinal-vertical coupling tracked vehicle dynamic model is established to simultaneously describe the longitudinal, vertical and pitch dynamic responses of the tracked vehicle...
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Optimization of aerodynamic drag reduction for vehicles with non-smooth surfaces and research on aerodynamic characteristics under crosswind Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-15 Wei Gao, Minxiang Wei, Shangzhu Huang
Energy consumption and environmental pollution problems have become increasingly prominent in China. The drag reduction of vehicles is an effective method to improve the fuel economy of cars and re...
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An air supply system regulation method for PEMFCs based on disturbance observation and MPC control Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-15 Dafeng Song, Qingtao Wu, Xiaohua Zeng, Xuanming Zhang, Dongpo Yang, Qifeng Qian
The optimal tracking control of air pressure and air flow is an important guarantee to improve the output characteristics of fuel cells. However, under the load disturbances scenario, the optimal c...
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Research on active safety control for heavy multi-axle vehicles under steering system failure Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-15 Qihui Liu, Heng Du, Yajin Yu, Hui Huang, Yunchao Wang, Jinhui Fang
Heavy multi-axle vehicles with long bodies, large loads, and many steering axles are prone to one stuck axle with its steering system failed, which leads to a sharp drop in vehicle safety. Modulati...
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Temperature field model of limited slip clutch based on dynamic heat flux partition characteristics Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-12 Jiaxi Jin, Shujun Yang, Zengxiong Peng, Xueliang Li, Hui Pan, Zhuang Lian, Haidi Yi
The interaxle torque distribution of off-road vehicle is interfered with temperature field variation of limited slip clutch during long-time sliding, which is controlled by actual heat flux input. ...
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Coordinated control algorithm of lateral stability of hybrid electric commercial vehicle Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-08 Xiaohua Zeng, Haoming Gao, Dafeng Song, Liangyu Li
Focusing on the problem of mutual interference between the vehicle controller and the lateral stability control system in the stability control of hybrid electric vehicles (HEV), this study propose...
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Fatigue optimization of shock absorber coupling rod bracket based on ARIZ and finite element analysis Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-08 Yu Zhenhuan, Zhang Na
Coupling rod bracket, which responds for connecting shock absorbers to coupling rods, is one of safety related parts in vehicle suspensions. During vehicle maneuvering, coupling road bracket will s...
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Model reference backstepping control for semi-active air suspension systems with parameter uncertainty Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-08 Pak Kin Wong, Mengqi Deng, Jing Zhao, Meisam Ahmadi Ghadikolaei, Hang Wang
The electronically controlled semi-active air suspension systems have been widely used to improve the vehicle ride comfort and road holding performance by adjusting the damper stiffness. This work ...
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In-wheel drive system design with dynamic vibration absorption based on the adaptive transmission mechanism Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-08 Xinbo Chen, Aijing Kong, Wei Wang
The extra unsprung mass introduced by the propulsion motors becomes an unavoidable issue for electric wheel drive systems, resulting in deteriorated ride comfort and tire adhesion stability. This s...
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Knock metrics experimental evaluation for pre-chamber SI engines Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-08 Nathália Duarte Souza Alvarenga Santos, Igor Rodrigues dos Santos, Vinícius Rückert Roso, Carlos Eduardo Castilla Alvarez, José Guilherme Coelho Baeta
The present study analyzes the occurrence of pressure oscillations in engines operating with pre-chambers at stoichiometric conditions, aiming to assess whether the increase in the amplitude of pre...
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Multi-coupled biomimetics for tire noise reduction Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-06 Guolin Wang, Lei Wang, Kexin Zhu, Yang Jian, Lin Bo
To explore ways of reducing tire noise, a 205/55R16 KR10 semi-steel radial tire was used as the research object. Vibration noise and aerodynamic noise were analyzed using the modal transfer vector ...
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Research on simulated operational path analysis applied to structure-borne road noise Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-06 Xiaolong Li, Chihua Lu, Yawei Zhu, Yi Sun, Wan Chen, Can Cheng
The accurate identification of noise sources inside vehicles is the basis of optimizing structure-borne noise problems, and transfer path analysis (TPA) is one of the most commonly used methods. Th...
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Driving cycle prediction based on Markov chain combined with driving information mining Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-05-06 Ling Li, Haochen Sun, Fazhan Tao, Zhumu Fu
Driving cycle prediction (DCP) is of great importance for vehicle’s awareness of surrounding environment and optimization of control strategy. It has won much attention around the world. However, t...
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Study on the altitude adaptability of single-stage and two-stage turbocharging systems for a heavy-duty diesel engine Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-04-29 Kangbo Lu, Huiyan Zhang, Tao Sun, Xuyang Tang, Lei Shi, Kangyao Deng
It is important to understand the altitude adaptability of the turbocharging system for maximizing its potential in the power recovery of the diesel engine at high altitudes. This study investigate...
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Research on interior noise optimization of minibus based on vibration transfer path analysis using super element method Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-04-29 Shenghao Xiao, Jie He, Yumei Li, Gang Xu, Yunlong San
In this paper, aiming at the problem of excessive low-frequency noise in a minibus, the SEM (Super Element Method) was applied to the NVH (Noise, Vibration and Harshness) dynamics simulation analys...
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Hierarchical coordinated control of multi-axle steering for heavy-duty vehicle based on tire lateral and longitudinal forces optimization Proc. Inst. Mech. Eng. Part D J. Automob. Eng. (IF 1.7) Pub Date : 2023-04-28 Heng Du, Xiaowei Zhu, Qihui Liu, Tianyu Ren, Yunchao Wang
Traditional multi-axle steering vehicle often adopts linear state feedback control, which is difficult to ensure high-precision trajectory tracking under all working conditions. Moreover, due to th...