吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (5): 1336-1343.doi: 10.13229/j.cnki.jdxbgxb201705002

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Parameter matching of on-board hybrid energy storage system using NSGA-II algorithm

ZHOU Fang1, SONG Chuan-xue1, LIANG Tian-wei2, XIAO Feng1   

  1. 1.State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2.College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China
  • Received:2016-08-24 Online:2017-09-20 Published:2017-09-20

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Abstract: An integrated parameter matching/energy management optimization method is proposed for active on-board Hybrid Energy Storage System (HESS). The optimization model with two indicators, HESS replacement costs and energy consumption, was set up and solved using controlled elitist NSGA-Ⅱalgorithm to obtain Pareto sets as alternatives. After comparing the initial cost, daily total cost and battery pack mileage of lifetime of the alternatives, HESS parameters and corresponding energy management were selected. When the daily range is within 48 km, the optimal battery pack capacity is 22 kW·h, when the daily range exceeds 48 km, the optimal battery pack capacity increases with the daily range. An ultracapacitor pack around 60 W·h is adequate for various daily range. Compared with the optimization results of battery only, using the proposed optimization method, the replacement cost is reduced by 11.5% in average, the battery pack mileage of lifetime is raised by 19.8% in average, the daily total cost is reduced by 13.2%. The proposed optimization method ensures that the main indicators are optimal and the secondary indicators are satisfactory.

Key words: vehicle engineering, hybrid energy storage system(HESS), controlled elitist NSGA-II, replacement cost, multi-objective optimization

CLC Number: 

  • U461.8
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