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作 者:彭倩 徐笑 赵博 PENG Qian;XU Xiao;ZHAO Bo(School of Mechanical and Automotive Engineering,Xiamen University of Technology,Xiamen 361021,China)
机构地区:[1]厦门理工学院机械与汽车工程学院,福建厦门361021
出 处:《河南科技学院学报(自然科学版)》2025年第1期79-90,共12页Journal of Henan Institute of Science and Technology(Natural Science Edition)
基 金:福建省技术创新重点攻关及产业化项目(2022G047-02)。
摘 要:目的传统制动力分配方式会影响电动汽车制动稳定性、可靠性和能量回收特性,难以满足轮毂驱动车辆的制动需求.针对轮毂驱动复合制动力矩分配协调的问题,面向纯电动轮毂驱动轻型商用车,提出一种基于模型预测控制(model predict control,MPC)理论的复合制动系统制动力矩分配的控制策略.方法在保证车辆稳定性和安全性的前提下,以提高能量回收率为目标,开展液压制动力矩和再生制动力矩分配方法的设计优化,选取车速跟踪误差和能量回收率作为评价指标,在典型循环工况道路工况下对该策略进行了仿真验证.结果该策略具有良好的车速跟踪效果,在中国商用车辆行驶工况(CHTC-B)下,该策略的能量平均回收率可达22.91%;在美国城市循环工况(UDDS)下,该策略的能量平均回收率可达26.70%.结论基于MPC的控制策略可以在保证安全的前提下,提高能量回收效率,节能减排.Objective Braking force distribution affects the braking stability,reliability and energy recovery characteristics of electric vehicles.Aiming at the problem of hub-driven composite braking torque distribution coordination,a control strategy for braking torque distribution of composite braking system based on Model Predict Control(MPC)theory is proposed for pure electric hub-driven light commercial vehicles.Methods Under the premise of ensuring vehicle stability and safety,the design optimization of hydraulic braking torque and regenerative braking torque distribution is carried out with the goal of improving the energy recovery rate,and the speed tracking error and energy recovery rate are selected as the evaluation indexes,and the strategy is simulated and verified under typical cyclic road conditions.Results The strategy has good speed tracking effect,and the average energy recovery rate of the strategy can be up to 22.91%under the Chinese commercial vehicle traveling conditions(CHTC-B),and the average energy recovery rate of the strategy can be up to 26.70%under the UDDS(U.S.urban cycling conditions).Conclusion The MPC-based control strategy can improve the energy recovery efficiency,energy saving and emission reduction under the premise of ensuring safety.
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