Parameter optimization of rule-based control strategy for multi-mode hybrid electric vehicle

被引:23
作者
Du, Wei [1 ]
Zhao, Shengdun [1 ]
Jin, Liying [1 ]
Gao, Jinzhou [1 ]
Li, Hao [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Mech Engn, 28 Xianning West Rd, Xian 710049, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-modal hybrid electric vehicle; control strategy; logical threshold value; NSGA_II; dynamic programming; ENERGY MANAGEMENT STRATEGY; POWER-SPLIT; CONFIGURATION; ARCHITECTURES; EFFICIENCY; ALGORITHM; DESIGN; BUS;
D O I
10.1177/0954407020902557
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Multi-mode hybrid electric vehicle is considered as the best hybrid power solution because it has many operational modes and can achieve a wider and more efficient transmission range. But at the same time, it also brings some problems, such as the choice of operational mode. At present, the most commonly used mode-switching strategy is rule-based control strategy, but it needs to determine the logical threshold value of each control variable in advance. Usually these values are determined by experience, but cannot guarantee that the value obtained is the optimal solution. This paper combines the improved NSGA_II algorithm with the rule-based control strategy and optimizes the logic threshold value by using the improved NSGA_II algorithm to get the optimal logic threshold value. Combining the optimized rule-based control strategy with the minimum equivalent fuel consumption strategy, a real-time control strategy for multi-mode hybrid electric vehicle is proposed. The advantages of the proposed control strategy are proved by an example.
引用
收藏
页码:2706 / 2716
页数:11
相关论文
共 37 条
[1]  
[Anonymous], 2009, 2009011061 SAE
[2]  
Benford H. L., 1981, SAE Tech. Paper 810102
[3]   The state of the art of electric, hybrid, and fuel cell vehicles [J].
Chan, C. C. .
PROCEEDINGS OF THE IEEE, 2007, 95 (04) :704-718
[4]  
Chao Ma, 2011, 2011 IEEE Vehicle Power and Propulsion Conference, DOI 10.1109/VPPC.2011.6043156
[5]   A neurofuzzy-controlled power management strategy for a series hybrid electric vehicle [J].
Chindamo, Daniel ;
Economou, John T. ;
Gadola, Marco ;
Knowles, Kevin .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2014, 228 (09) :1034-1050
[6]   Techno-economic design of hybrid electric vehicles and possibilities of the multi-objective optimization structure [J].
Dimitrova, Zlatina ;
Marechal, Francois .
APPLIED ENERGY, 2016, 161 :746-759
[7]   Hybrid electric vehicles: Architecture and motor drives [J].
Ehsani, Mehrdad ;
Gao, Yimin ;
Miller, John M. .
PROCEEDINGS OF THE IEEE, 2007, 95 (04) :719-728
[8]  
Fang L, 2012, 2012 7 IEEE C IND EL
[9]   Trip-Based Optimal Power Management of Plug-in Hybrid Electric Vehicles [J].
Gong, Qiuming ;
Li, Yaoyu ;
Peng, Zhong-Ren .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2008, 57 (06) :3393-3401
[10]  
Grewe T. M., 2007, SAE Paper 2007-010273