郑州大学学报（工学版）2024，Vol.45Issue(2)：80-88,9.DOI:10.13705/j.issn.1671-6833.2024.02.005
基于多目标优化的燃料电池汽车实时能量管理策略
Real-time Energy Management Strategy of Fuel Cell Vehicles Based on Multi-objective Optimization
摘要
Abstract
In order to reduce the equivalent hydrogen consumption of the hybrid system and delay the aging of the fuel cell,an Energy management strategy(EMS)was proposed based on multi-objective optimization and road con-dition classification.Firstly,the electrical model of the fuel cell and lithium battery hybrid system power was con-structed,and the equivalent hydrogen consumption model and fuel cell aging model were introduced.Then,a rule-based multi-mode EMS was designed;on this basis,in order to further reduce the equivalent hydrogen consumption of the system and prolong its service life,the multi-objective beluga whale optimization algorithm(MOBWO)was proposed to optimize the control parameters.Furthermore,in order to make the designed EMS suitable for different road conditions,a real-time classification method of driving road conditions based on long short-term memory(LSTM)network was proposed,aiming to switch the control parameters of EMS according to the classification re-sults to achieve the optimal effect.Finally,the proposed algorithm was analyzed on the simulation platform.The re-sults showed that the hydrogen consumption of the hybrid system with the proposed method was reduced by 2.3%and the aging degree of the fuel cell was reduced by 1.02%compared with the rule-based method,The proposed EMS could effectively reduce the equivalent hydrogen consumption of the hybrid system and delay the aging of the fuel cell.关键词
燃料电池/锂电池/混合动力系统/能量管理策略/多目标白鲸优化/LSTM 神经网络/路况分类Key words
fuel cell/lithium battery/hybrid power system/energy management strategy/multi-objective beluga optimization/LSTM neural network/road condition classification分类
信息技术与安全科学引用本文复制引用
于坤杰,王思雨,杨朵,符汉文,廖粤峰..基于多目标优化的燃料电池汽车实时能量管理策略[J].郑州大学学报（工学版）,2024,45(2):80-88,9.基金项目
中国博士后科学基金资助项目(227M722871) （227M722871）
国家自然科学基金资助项目(62303424,62176238) （62303424,62176238）
河南省高校科技创新人才资助项目(23HASTIT023) （23HASTIT023）
河南省自然科学优秀青年基金资助项目(222300420088) （222300420088）
河南省重点研发与推广专项(科技攻关)(232102241025) （科技攻关）
