摘要
在双电机纯电动汽车进行制动能量回收时,为协调控制电液制动、提升整车经济性,提出了两种不同的能量回收策略。一种是基于模糊控制算法,根据制动强度、车辆速度和SOC进行模糊推理,确定电机制动力所占比例;另一种是基于电机制动功率最优原则,通过寻优方式得到不同工况下的前后电机制动力矩分配系数。利用AVL-Cruise和Simulink软件搭建整车模型和能量回收控制策略,并在WLTC和CLTC工况下进行联合仿真。结果表明:基于电机制动功率最优能量回收策略在提升整车经济性方面效果较好,在能耗、续驶里程以及能量回收率方面均优于模糊控制算法,特别是在能耗方面,WLTC和CLTC工况下,该策略的百公里能耗值比模糊控制算法分别低22%和32%,具有良好的节能效果。
In order to coordinate the control of electro-hydraulic braking and enhance overall energy efficiency,two different energy recovery strategies were put forward during the braking energy recovery of dual-motor pure electric vehicles.One strategy was utilizing a fuzzy control algorithm that performs fuzzy inference based on braking intensity,vehicle speed,and SOC to determine the proportion of motor braking force,the other strategy was obtaining front/rear motor torque distribution coefficients for various operating conditions through an optimization approach based on the optimal motor braking power principle.AVL-Cruise and Simulink software were used to build the vehicle model and energy recovery control strategy for co-simulation under WLTC and CLTC conditions.The results show that the proposed optimal energy recovery strategy based on motor braking power has a good effect in improving vehicle economy,and is superior to the fuzzy control algorithm in terms of energy consumption,driving range and energy recovery effect.Especially in terms of energy consumption,the energy consumption per 100 km of the optimization-based strategy achieves 22%and 32%reductions under WLTC and CLTC cycles versus fuzzy logic control,confirming substantial energy conservation advantages.
作者
曹龙龙
钟勇
范周慧
郜建行
CAO Longlong;ZHONG Yong;FAN Zhouhui;GAO Jianhang(Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province(Fujian University of Technology),Fuzhou 350118,China)
出处
《车用发动机》
北大核心
2025年第3期81-88,共8页
Vehicle Engine
关键词
电动汽车
能量回收
制动力矩
分配
控制策略
electric vehicle
energy recovery
braking torque
distribution
control strategy
作者简介
曹龙龙(2000-),男,硕士,主要研究方向为车辆工程,新能源汽车,1494459648@qq.com。
