摘要
为了提高纯电动货车再生制动效率并保障车辆制动时的安全性,提出了一种再生制动模糊控制策略:以影响再生制动回收效率的参数为输入,以再生制动分配系数K为输出;利用遗传算法对控制策略进行优化,使用MATLAB/SIMULINK平台搭建再生制动控制策略,并将其导入CRUISE软件中进行仿真分析,对加入控制策略前后整车的动力性和经济性进行分析比较。结果表明:优化后的控制策略在满足安全性的前提下,电池输出能量得以改善,使得再生制动能量回收效率得到了较大的提高。
In order to improve the regenerative braking efficiency of pure electric truck and ensure the safety of vehicle braking,a fuzzy control strategy for regenerative braking is proposed:The parameters that affect the recovery efficiency of regenerative braking are taken as input,the allocation coefficient K of regenerative braking is taken as output;Genetic algorithm is used to optimize the control strategy,and MATLAB/SIMULINK platform is used to build the regenerative brake control strategy,which is imported into CRUISE software for simulation analysis,and the power and economy of the vehicle before and after the control strategy is added are analyzed and compared. Results show that the optimized control strategy to meet the premise of safety,the battery output energy is improved,The regenerative braking energy recovery efficiency has been greatly improved.
作者
王程玉
林慕义
吴柯桐
陈勇
WANG Cheng-yu;LIN Mu-yi;WU Ke-tong;CHEN Yong(College of Mechanic and Electronic Engineering,Beijing Information Science&Technology University,Beijing 100192,China;Beijing Collaborative Innovation Center of Electric Vehicles,Beijing 100192,China)
出处
《机械设计与制造》
北大核心
2022年第6期10-13,共4页
Machinery Design & Manufacture
基金
基于再生能量的车辆电液动力制动系统设计理论与方法(51275053)。
关键词
纯电动货车
ECE法规
再生制动
模糊控制
遗传算法
仿真
Pure Electric Truck
ECE Regulations
Regenerative Braking
Fuzzy Control
Genetic Algorithm
Simulation
