摘要
针对试验纯电动物流车续驶里程不足,提出了最优制动能量回收控制策略,合理分配机械制动力和再生制动力。该策略在确保制动安全的条件下,通过粒子群优化算法对电机再生制动转矩进行优化,使电机有效发电功率达到最大。然后在电机转速范围内,利用最小二乘法拟合出有效发电功率最大时电机转矩曲线。最后将试验车的Simulink控制模型和整车模型分别在AVL Cruise和Matlab/Simulink中建立,进行API联合仿真,得出有效回收率。仿真结果表明:在确保制动安全和稳定条件下,分析得到运行在UDDS工况的试验车有效回收率为28.71%,验证了提出的控制策略。
In view of the insufficient driving range of test pure electric vehicle,the optimal braking energy recovery control strategy is put forward to distribute the mechanical braking force and regenerative braking force rationally.Under the condition of ensuring the safety of the brake,the particle swarm optimization algorithm is used to optimize the regenerative braking torque of the motor,so that the effective generation power of the motor is maximum.Then,in the motor speed range,the motor torque curve of the most effective generation power is fitted by the least square method.Finally,the Simulink control model and vehicle model of the test vehicle are established in AVL-Cruise and Matlab/Simulink respectively,and the API simulation is carried out to obtain effective recovery rate.The simulation results show that under the condition of ensuring the safety and stability of the brake,the effective recovery rate of the test vehicle running at UDDS is 28.71%,and the control strategy proposed in this paper is verified.
作者
王茹洁
武志斐
邹纯
WANG Ru-jie;WU Zhi-fei;ZOU Chun(Department of Vehicle Engineering,Taiyuan University of Technology,Shanxi Taiyuan030024,China;Key Laboratory of Advanced Manufactturing of Shanxi Province,North University of China,Shanxi Taiyuan030051,China)
出处
《机械设计与制造》
北大核心
2020年第4期301-304,共4页
Machinery Design & Manufacture
基金
山西省重点研发计划重点项目(201603D111006)。
关键词
纯电动物流车
最优制动能量回收
粒子群优化
有效发电功率
有效回收率
Pure Electric Logistics Vehicle
Optimal Braking Energy Recovery
Particle Swarm Optimization
Effec-tive Power Generation
Effective Recovery Rate
