摘要
对增程式电动车两种典型能量管理策略下的最优控制效果进行了比较研究。通过构建新颖的控制模型和引入新型动态规划算法大大降低了最优能量管理问题的计算复杂度。不同工况和行驶距离下的仿真结果表明:1)混合(BL)型控制策略下最优SOC随行驶距离以近似线性的规律下降;2)BL控制下的油耗和电耗均比电量消耗-电量维持(CD-CS)型控制下的低,但差异不明显;3)BL控制能显著延长电池组的使用寿命。
The optimum control effects for extended range electric vehicles under two typical energy management strategies are comparatively studied. By creating novel control model and introducing new type of dynamic programming,the complexity of computation on optimum energy management issue is greatly lowered. The results of simulation for different driving circle combinations and driving distances indicate that： 1） under blended（ BL） type control strategy,the optimal SOC approximately linearly lowers with the extension of driving distance; 2） The fuel and electricity consumptions under BL control are always slightly lower than those under CD-CS control; 3） The service life of battery can be notably extended with BL control.
出处
《汽车工程》
EI
CSCD
北大核心
2016年第12期1407-1414,共8页
Automotive Engineering
基金
中央高校基本科研业务费
北京市教委科技发展基金(20120339234)资助
关键词
增程式电动车
能量管理
最优SOC
比较研究
动态规划
extended range electric vehicles
energy management
optimal SOC
comparative study
dynamic programming
