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Innovation design and optimization management of a new drive system for plug-in hybrid electric vehicles
被引:36
|作者:
Zhang, LiPeng
[1
]
Liu, Wei
[1
]
Qi, Bingnan
[2
]
机构:
[1] Yanshan Univ, Hebei Key Lab Special Delivery Equipment, Qinhuangdao 066004, Hebei, Peoples R China
[2] Yanshan Univ, Sch Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
来源:
基金:
中国国家自然科学基金;
关键词:
Plug-in hybrid electric vehicle;
Multi-mode coupling drive system;
Configure design;
Parameter optimum;
Energy management;
MODEL-PREDICTIVE CONTROL;
GENETIC ALGORITHM;
ENERGY;
STRATEGY;
D O I:
10.1016/j.energy.2019.07.153
中图分类号:
O414.1 [热力学];
学科分类号:
摘要:
A multi-mode coupling drive system has been designed and controlled to improve the dynamic characteristics and fuel economy of plug-in hybrid electric vehicles, which also can make full use of the configured superiority of centralized drive systems and distributed drive systems and avoid their structural defects. The configuration evolution process, working mechanism and drive modes of the multi-mode coupling drive system are introduced. The powertrain model is established for the target vehicle. Based on Charge Depleting-Charge Sustaining energy management strategy, an Electric Vehicle-Charge Sustaining energy management strategy is developed. The Improved Real-valued Genetic Algorithm is used to optimize the system structural and control parameters, it can help prioritize the drive modes which are based on the proposed energy management strategy. While ensuring the vehicle dynamics, the best energy allocation is achieved. The results show that comparing with a series distributed drive hybrid system and the intelligent Multi-Mode Drive (i-MMD) hybrid system under the NEDC condition, the 100-km fuel consumption of the optimized multi-mode coupling drive system is reduced by 16.52% and 15.40%. Respectively, it further proves the superiority of the drive system in improving vehicle economy. (C) 2019 Elsevier Ltd. All rights reserved.
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页数:19
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