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 road resistance coefficient during the vehicle’s shifting process, the strategy adaptively adjusts the coordinated control parameter (fuel cut-off time) to achieve optimal control of vehicle shifting under different operating conditions. To evaluate the shift quality, shift jerk, friction work, torque peak, and shift time are used as performance indicators. Based on a constructed simulation model of the powertrain system, the influence of different operating conditions on the performance indicators is analyzed, and the effect of coordinated control parameters on improving shift quality under different operating conditions is compared. Corresponding fuzzy rules are then established to achieve adaptive adjustment of the coordinated control parameters through fuzzy control, ensuring effective improvement of shift quality for vehicles under different operating conditions.

中文翻译：

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提高不同工况下换档质量的自适应协调控制策略

为了提高车辆在不同工况（如道路阻力系数和节气门开度）下的换档质量，提出一种自适应协调控制策略。该策略利用遗忘因子递归最小二乘法（FFRLS）来实现道路阻力系数的在线识别。该策略根据车辆换挡过程中油门踏板开度和路面阻力系数的变化，自适应调整协调控制参数（燃油切断时间），实现不同工况下车辆换挡的最优控制。为了评估换档质量，使用换档急动度、摩擦功、扭矩峰值和换档时间作为性能指标。基于构建的动力总成系统仿真模型，分析了不同工况对性能指标的影响，比较了不同工况下协调控制参数对改善换档质量的效果。然后建立相应的模糊规则，通过模糊控制实现协调控制参数的自适应调整，保证车辆在不同工况下的换档质量的有效提高。