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基于随机动态规划的混联式混合动力汽车能量管理策略
Energy Management Strategy for Series-Parallel Hybrid Electric Vehicle Based on Stochastic Dynamic Programming
【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。
【Abstract】 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.
【Key words】 series-parallel hybrid electric vehicle; energy management strategy; stochastic dynamic programming; Markov model;
- 【文献出处】 汽车工程 ,Automotive Engineering , 编辑部邮箱 ,2013年04期
- 【分类号】U469.7
- 【被引频次】53
- 【下载频次】1021