An Optimal Slip Ratio-Based Revised Regenerative Braking Control Strategy of Range-Extended Electric Vehicle

被引:25
作者
Liu, Hanwu [1 ]
Lei, Yulong [1 ]
Fu, Yao [1 ]
Li, Xingzhong [1 ]
机构
[1] Jilin Univ, Sch Automot Engn, State Key Lab Automot Simulat & Control, Changchun 130022, Peoples R China
关键词
range-extended electric vehicle; regenerative braking; optimal slip ratio control; battery capacity loss model; regenerative braking controller; control strategy optimization; MANAGEMENT STRATEGY; COOPERATIVE CONTROL; ENERGY RECOVERY; SYSTEM; MODEL; PERFORMANCE; BATTERIES; DESIGN;
D O I
10.3390/en13061526
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The energy recovered with regenerative braking system can greatly improve energy efficiency of range-extended electric vehicle (R-EEV). Nevertheless, maximizing braking energy recovery while maintaining braking performance remains a challenging issue, and it is also difficult to reduce the adverse effects of regenerative current on battery capacity loss rate (Q(loss,%)) to extend its service life. To solve this problem, a revised regenerative braking control strategy (RRBCS) with the rate and shape of regenerative braking current considerations is proposed. Firstly, the initial regenerative braking control strategy (IRBCS) is researched in this paper. Then, the battery capacity loss model is established by using battery capacity test results. Eventually, RRBCS is obtained based on IRBCS to optimize and modify the allocation logic of braking work-point. The simulation results show that compared with IRBCS, the regenerative braking energy is slightly reduced by 16.6% and Q(loss,%) is reduced by 79.2%. It means that the RRBCS can reduce Q(loss,%) at the expense of small braking energy recovery loss. As expected, RRBCS has a positive effect on prolonging the battery service life while ensuring braking safety while maximizing recovery energy. This result can be used to develop regenerative braking control system to improve comprehensive performance levels.
引用
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页数:21
相关论文
共 28 条
[1]   Influence analysis of static and dynamic fast-charging current profiles on ageing performance of commercial lithium-ion batteries [J].
Abdel-Monem, Mohamed ;
Trad, Khiem ;
Omar, Noshin ;
Hegazy, Omar ;
Van den Bossche, Peter ;
Van Mierlo, Joeri .
ENERGY, 2017, 120 :179-191
[2]  
Aksjonov A, 2018, INT J AUTO TECH-KOR, V19, P727
[3]  
[Anonymous], 2013, MATH PROBL ENG
[4]   Design and analysis of power management strategy for range extended electric vehicle using dynamic programming [J].
Chen, Bo-Chiuan ;
Wu, Yuh-Yih ;
Tsai, Hsien-Chi .
APPLIED ENERGY, 2014, 113 :1764-1774
[5]   Progress of Chinese electric vehicles industrialization in 2015: A review [J].
Du, Jiuyu ;
Ouyang, Danhua .
APPLIED ENERGY, 2017, 188 :529-546
[6]   Investigation of path dependence in commercial lithium-ion cells chosen for plug-in hybrid vehicle duty cycle protocols [J].
Gering, Kevin L. ;
Sazhin, Sergiy V. ;
Jamison, David K. ;
Michelbacher, Christopher J. ;
Liaw, Bor Yann ;
Dubarry, Matthieu ;
Cugnet, Mikael .
JOURNAL OF POWER SOURCES, 2011, 196 (07) :3395-3403
[7]   A Combined Cooperative Braking Model with a Predictive Control Strategy in an Electric Vehicle [J].
Guo, Hongqiang ;
He, Hongwen ;
Sun, Fengchun .
ENERGIES, 2013, 6 (12) :6455-6475
[8]   Performance Evaluation of an Anti-Lock Braking System for Electric Vehicles with a Fuzzy Sliding Mode Controller [J].
Guo, Jingang ;
Jian, Xiaoping ;
Lin, Guangyu .
ENERGIES, 2014, 7 (10) :6459-6476
[9]   Efficient Antilock Braking by Direct Maximization of Tire-Road Frictions [J].
Hoseinnezhad, Reza ;
Bab-Hadiashar, Alireza .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 58 (08) :3593-3600
[10]   Recognition of battery aging variations for LiFePO4 batteries in 2nd use applications combining incremental capacity analysis and statistical approaches [J].
Jiang, Yan ;
Jiang, Jiuchun ;
Zhang, Caiping ;
Zhang, Weige ;
Gao, Yang ;
Guo, Qipei .
JOURNAL OF POWER SOURCES, 2017, 360 :180-188