Journal of South China University of Technology(Natural Science Edition) ›› 2024, Vol. 52 ›› Issue (6): 45-55.doi: 10.12141/j.issn.1000-565X.230359

• Green & Intelligent Transportation • Previous Articles     Next Articles

Layout Optimization of Static Wireless Charging Facilities for Electric Buses by Considering Battery Degradation Characteristics

WANG Yongxing1 () , BI Jun1,2† () , XIE Dongfan1 , SAI Qiuyue3   

  1. 1.School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China
    2.Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China
    3.Institute of Scientific and Technical Information of China,Beijing 100038,China
  • Received:2023-05-26 Online:2024-06-25 Published:2023-09-08
  • Contact: 毕军(1973—),男,博士,教授,主要从事大数据智能交通决策等研究。 E-mail:jbi@bjtu.edu.cn
  • About author:王永兴(1990—),男,博士,讲师,主要从事电动汽车运行管理等研究。E-mail:yx.wang@bjtu.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(72301020)

Abstract:

As the existing layout schemes of static wireless charging (SWC) facilities often neglect battery degradation costs, this paper proposes a layout optimization method of SWC facilities for electric buses by considering battery degradation characteristics. Firstly, by considering the operation characteristics of electric buses under opportunity charging mode, a layout optimization method of SWC facilities is developed with simultaneous consideration of charger deployment costs and battery degradation costs, with the function mechanism of battery state of charge (SOC) variety ranges on battery degradation rate being integrated into the model, and with the accumulated energy consumption constraints being introduced in the model to ensure that the SWC layout scheme can satisfy the bus route operation demands. Then, an improved TS (Tabu Search) algorithm is presented to solve the model by overcoming its computational complexity, and the initial solution and neighborhood structure of the algorithm are constructed according to the model characteristics. Finally, a numerical example is designed to verify the model and algorithm. The results indicate that the layout of SWC facilities has significant effects on battery degradation; that the proposed model can reduce 3.8% of the total annualized cost, as compared with the conventional model that neglects the battery degradation characteristics; that the battery degradation cost accounts for up to 72.3% of the total annualized cost under current battery technology and cost conditions; and that the improved TS algorithm is better than the original one because it significantly improves the solution efficiency. Moreover, a sensitive analysis is conducted to explore the impacts of multiple critical factors on optimal results, finding that both the upper bound of battery SOC and the SWC facility charging power have significant negative correlation with the total annualized cost, while the battery’s unit capacity cost, the SWC facility layout cost and the vehicle energy consumption rate all have positive correlation with the total annualized cost in various degrees.

Key words: electric bus, static wireless charging, layout optimization, battery degradation

CLC Number: