Optimal Equivalence Factor Calculation Based on Dynamic Programming for Hybrid Electric Vehicle

被引：0
|
作者：
Wu, Jinzhu [1 ]
Gao, Bingzhao [1 ]
Zheng, Qing [1 ]
Chen, Hong [1 ,2 ]
机构：
[1] Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
[2] Jilin Univ, Dept Control Sci & Engn, Changchun 130025, Peoples R China
来源：
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
关键词：
optimal equivalence factor; dynamic programming algorithm; energy management; real-time implementation; hybrid electric vehicle; FINAL-STATE CONSTRAINTS; ENERGY MANAGEMENT; IMPLEMENTATION; STRATEGY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Equivalent consumption minimization strategy is one of the most promising strategies that can be used in real-time. However, the challenge of this strategy is the determination of the equivalence factor since it is related to the driving cycle that a vehicle follows. In this paper, based on a given driving cycle, the optimal equivalence factor is calculated by using dynamic programming algorithm and it is represented as a lookup-table of state of charge and power demand. After that, the lookup-table is applied on a vehicle to carry out simulation. Simulation results show that the fuel consumption is close to the optimal one calculated by dynamic programming algorithm and the lookup-table can he implementable in real-time.
引用
收藏
页码：6640 / 6645
页数：6
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