E-REV全局能量管理策略优化与研究
Research and optimization on global energy management strategy of E-REV
章亮 1罗亮1
作者信息
- 1. 合肥工业大学 汽车工程技术研究院,安徽 合肥 230009
- 折叠
摘要
以整车燃油经济性为优化目标,将Dijkstra算法应用于增程式电动汽车能量管理策略.对中国轻型商用车行驶工况(CLTC-C)的仿真结果表明,Dijkstra算法花费时间约为动态规划的 40%,Dijkstra算法的终点一定是给定的SOC终点的值,而动态规划终点SOC值与给定SOC值有一定误差;同时,考虑发动机启停损耗和最小工作时间,使得发动机启停次数降低 40%左右,改善发动机工况,更符合实际,燃油经济性也得到一定提高.
Abstract
Dijkstra algorithm was applied to the global energy management strategy of extended-range electric vehicles(E-REVs)with the optimization objective of the whole vehicle's fuel economy.The simulation results of China Light Commercial Vehicle Operating Condition(CLTC-C)showed that,Dijkstra algorithm took about 40%of the time of dynamic programming;The endpoint of the algorithm Dijkstra must be the given SOC endpoint,while there was a certain error between the value of the endpoint of dynamic programming and the given SOC value.Considering the engine start-stop loss and minimum working time,the engine start-stop frequency was reduced by about 40%,and the engine working condition was improved,which was more in line with the practice and fuel economy was also improved.
关键词
增程式电动汽车/Dijkstra算法/动态规划/能量管理策略Key words
extended-range electric vehicle/Dijkstra algorithm/dynamic programming/energy management strategy引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据