Adaptive Model Predictive Control Strategy of Hybrid Electric Bus Based on SOC Programming

摘要：

　　In the paper,Adaptive Model Predictive Control Strategy (AMPC) for HEB is designed based on battery state of charge (SOC) programming.The reference SOC is calculated based on dynamic programming algorithm (DP).According to the reference SOC (SOCref),control thresholds are adjusted to make the real SOC following the SOCref by parameter adaptive algorithm.The dynamic model of HEB is established by Simulink and AVL Cruise.Simulation results are shown that the energy consumption generated by the proposed strategy is significantly lower than that of the Rule-Based (RB) strategy and the economic performance of HEB can be improved.

关键词： Hybrid Electric Bus Dynamic Programming Adaptive Model Predictive Control Strategy Optimization

作者: Jianhua Guo Wei Zhang Cui Liu Liang Chu

作者单位: State Key Laboratory of Automotive Dynamic Simulation and Control,Jilin University,Chang Chun,China China Automotive Technology & Research Center,Tian Jin,China Mechanic and Electronic Engineering,Qingdao Binhai,Qing Dao,China

会议类型: 国际会议

会议名称: 2016IEEE第二届信息技术、网络、电子及自动化控制会议

会议地点: 重庆

会议语种:英文

页码: 796-799

在线出版日期: 2016-03-20（万方平台首次上网日期，不代表论文的发表时间）