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当前位置: 首页 > 文章 > 电动车自适应ESP控制算法设计与仿真分析 森林工程 2020 (2) 103-110
Position: Home > Articles > The Design and Simulation of Adaptive ESP Control Algorithm for Electric Vehicle Forest Engineering 2020 (2) 103-110

电动车自适应ESP控制算法设计与仿真分析

作  者：
姚树桐;崔淑华;王宪彬
单  位：
东北林业大学交通学院
关键词：
电动汽车;ESP;自适应模糊PID;差动制动
摘  要：
针对某单电机后置后驱纯电动车型,进行横向稳定性控制算法的设计与仿真分析。采用模糊算法识别路面附着系数,设计以车辆横摆角速度与质心侧偏角为控制目标的自适应模糊PID附加横摆力矩控制策略,采用四通道差动制动控制策略对制动力矩进行分配。基于CarSim与Matlab/Simulink联合仿真环境,分别在高、低附着系数路面进行不同初速度下的蛇形试验工况仿真对比分析。仿真结果表明,所提出的基于模糊PID的自适应ESP控制算法可以有效改善不同附着系数路面上该车型的横向稳定性,为该车型在实际研发过程中遇到的横向稳定性仿真优化问题提供了可行的解决思路。
译  名：
The Design and Simulation of Adaptive ESP Control Algorithm for Electric Vehicle
作  者：
YAO Shutong;CUI Shuhua;WANG Xianbin;School of Traffic and Transportation, Northeast Forestry University;
关键词：
Electric car;;ESP;;adaptive fuzzy PID;;differential braking
摘  要：
The lateral stability controller algorithm design and simulation test analysis were carried out for a single motor rear-drive pure electric vehicle. Fuzzy algorithm was used to identify the road adhesion coefficient. An adaptive fuzzy PID yaw moment control strategy was designed, which took yaw velocity and sideslip angle of the mass center as control targets. Four-channel single-wheel differential braking control strategy was used to distribute braking torque. Based on the co-simulation environment of CarSim and Matlab/Simulink, the serpentine test conditions of high and low adhesion road surface were simulated and compared under different initial speeds. The simulation results showed that the proposed adaptive ESP control algorithm based on fuzzy PID could effectively improve the lateral stability of the vehicle on roads with different adhesion coefficients. It provides a feasible solution to the problem of simulation and optimization of actual research and development of this vehicle.

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