首页|基于NSGA-Ⅱ算法的分布式驱动电动汽车制动转矩分配控制策略研究

基于NSGA-Ⅱ算法的分布式驱动电动汽车制动转矩分配控制策略研究

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针对分布式驱动电动汽车制动安全性和制动能量回收兼顾的问题,研究了基于NSGA-Ⅱ多目标优化算法的车辆制动转矩分配控制策略。建立基于模糊控制的优化集筛选模块,根据车速以及需求制动转矩从Pareto前沿优化集中确定最优转矩分配系数。以某款乘用车为研究对象,基于MATLAB/Simulink和VPAT搭建制动转矩分配控制策略模型进行仿真,并搭建硬件在环仿真平台,对算法的实时性和有效性进行了验证。结果表明:WLTC工况下,基于NSGA-Ⅱ的制动转矩分配的控制策略制动转矩分配系数更加接近理想Ⅰ曲线对应的分配系数,电机制动高效区工作点提高了 9。51百分点,再生制动能量回收率提升4。71百分点。
Research on Braking Torque Distribution Control Strategy of Distributed Drive Electric Vehicle Based on NSGA-Ⅱ Algorithm
To balance braking safety and braking energy recovery of distributed drive electric vehicles,this article explored the vehicle braking torque distribution control strategy based on NSGA-Ⅱ multi-objective optimization algorithm.An optimization module based on fuzzy control was established,and the optimal torque distribution coefficient was determined from the Pareto frontier optimization according to vehicle speed and demand braking torque.With an electric passenger vehicle as the research object,a brake torque distribution control strategy model was built based on Matlab/Simulink and VPAT and simulated.A hardware-in-loop simulation platform was built,and real-time performance and validity of this algorithm were verified.As was shown in the result,the brake torque distribution coefficient of the control strategy based on NSGA-Ⅱ was closer to the distribution coefficient of ideal Ⅰ curve,and the operation points of the motor braking efficiency zones were increased by 9.51 percentage point,and the energy recovery rate of vehicle regenerative braking was increased by 4.71 percentage point.

Distributed driveNSGA-Ⅱ algorithmFuzzy controlBraking torque distribution

王伟、曲辅凡、杨钫、李文博、王鹏龙、朱曰莹

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中汽研汽车检验中心(天津)有限公司,天津 300300

中国第一汽车股份有限公司研发总院,长春 130013

高端汽车集成与控制全国重点实验室,长春 130013

天津科技大学,机械工程学院,天津 300222

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分布式驱动 NSGA-Ⅱ算法 模糊控制 制动转矩分配

吉林省重大科技专项

20210301023GX

2024

汽车技术
中国汽车工程学会 长春汽车研究所

汽车技术

CSTPCD北大核心
影响因子:0.522
ISSN:1000-3703
年,卷(期):2024.(5)
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