燕山大学学报2020，Vol.44Issue(4)：388-396,9.DOI:10.3969/j.issn.1007-791X.2020.04.008
插电式混合动力汽车能量优化管理策略研究
Research on energy optimization management strategy of plug-in hybrid electric vehicle
摘要
Abstract
Aiming at the unreasonable energy distribution of plug-in hybrid electric vehicle driveline, a PHEV fuzzy energy management strategy based on tabu search-immune particle swarm optimization (TS-IPSO) is proposed. According to the current battery SOC and demand torque from driveline, fuzzy controller distributes the demand torque of engine and motor. In ADVISOR vehicle simulation platform, a mechanism model of transmission system is constructed, and the TS-IPSO algorithm is used to optimize parameters of fuzzy controller offline. The simulation results verify that compared with original fuzzy control strategy, energy management strategy with TS-IPSO algorithm reduces fuel consumption by 7.9%，which significantly improves fuel economy. Moreover, TS-IPSO algorithm can achieve better optimization accuracy than genetic algorithm, which makes sense in practical engineering.关键词
插电式混合动力汽车/禁忌搜索/免疫粒子群/模糊控制/离线优化Key words
plug-in hybrid electric/ vehicle/tabu search/ immune particle swarm optimization/ fuzzy control/ offline optimization分类
信息技术与安全科学引用本文复制引用
臧怀泉*,张琦,强鹏辉,邸聪娜..插电式混合动力汽车能量优化管理策略研究[J].燕山大学学报,2020,44(4):388-396,9.基金项目
国家自然科学基金资助项目(61573304) （61573304）
