摘要
为通过随机动态规划确定混联式混合动力汽车的能量管理策略,建立了其动力系统方程和功率需求的马尔可夫模型,在维持电池容量的同时以燃油消耗最小为目标,通过随机动态规划过程,获得能量管理策略,并在线实施。仿真结果表明,采用基于随机动态规划的能量管理策略时,燃油经济性略逊于基于动态规划的策略,是一种全局次优的策略,但其电池容量变化较平缓,有利于对电池的保护。
To determine the energy management strategy （EMS） for a series-parallel hybrid electric vehicle （SPHEV） with stochastic dynamic programming （SDP）, the dynamic equations for its power-train and the Markov model for its required power are set up. With the minimum fuel consumption as objective while preserving battery capacity, the EMS for SPHEV is obtained with SDP and implemented online. The results of simulation show that the fuel economy with EMS based on SDP is slightly inferior to that based on ordinary DP, but with SDP-based EMS the battery capacity tends to vary more smoothly, being conducive to the protection of battery.
出处
《汽车工程》
EI
CSCD
北大核心
2013年第4期317-321,363,共6页
Automotive Engineering
基金
科技部国际科技合作项目(2010DFB70770)资助
关键词
混联式混合动力汽车
能量管理策略
随机动态规划
马尔可夫模型
series-parallel hybrid electric vehicle
energy management strategy
stochastic dynamicprogramming
Markov model
