On the Role of Battery Capacity Fading Mechanism in the Lifecycle Cost of Electric Bus Fleet

被引:51
作者
Zhang, Le [1 ]
Zeng, Ziling [2 ]
Qu, Xiaobo [2 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing 210094, Peoples R China
[2] Chalmers Univ Technol, Dept Architecture & Civil Engn, S-41296 Gothenburg, Sweden
关键词
Batteries; Fading channels; Degradation; Planning; Scheduling; Aging; Analytical models; Battery management; battery capacity loss; electric bus fleet; lifecycle cost; state of charge; cost-benefit analysis; MODEL; OPTIMIZATION; MANAGEMENT; VEHICLES; CELL; EMISSIONS; FRAMEWORK; STRATEGY; BEHAVIOR; SYSTEMS;
D O I
10.1109/TITS.2020.3014097
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Electrification of public transport is inspired by the increasing concern about greenhouse gas emissions. Studies in this realm were conducted to smooth the sustainable transport mode transition, whereas very little attention has been dedicated to modeling the effect of battery degradation process on fleet operation. To fill the research gap, a long-term electric fleet management framework is developed, with fully considering the practical battery capacity loss within charge and discharge cycling. As the battery aging rate is highly dependent on the state of battery charge, we propose to constrain state of battery charge within a predefined range and quantify its cost-effective feature through lifecycle cost analysis. We employ 6 groups of the selected ranges to valid the model and conduct a cost-benefit analysis through comparing their corresponding lifecycle costs. It shows that the battery lifespan can be extended by up to 3 years and the lifecycle cost of electric bus fleet can reduce 24.7% through keeping the state of battery charge within a low and narrow range. A number of managerial insights stemmed from the numerical cases were fully analyzed. The framework and results of this study were expected to serve as a reference for transit operators to make sustainable management strategy for the next generation of public transport.
引用
收藏
页码:2371 / 2380
页数:10
相关论文
共 45 条
[1]   Optimal Cloud-Based Routing With In-Route Charging of Mobility-on-Demand Electric Vehicles [J].
Ammous, Mustafa ;
Belakaria, Syrine ;
Sorour, Sameh ;
Abdel-Rahim, Ahmed .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (07) :2510-2522
[2]   Distribution System Services Provided by Electric Vehicles: Recent Status, Challenges, and Future Prospects [J].
Arias, Nataly Banol ;
Hashemi, Seyedmostafa ;
Andersen, Peter Bach ;
Traeholt, Chresten ;
Romero, Ruben .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (12) :4277-4296
[3]   Logistical Planning for Electric Vehicles Under Time-Dependent Stochastic Traffic [J].
Bi, Xiaowen ;
Tang, Wallace K. S. .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (10) :3771-3781
[4]   Dynamic headway control for high-frequency bus line based on speed guidance and intersection signal adjustment [J].
Bie, Yiming ;
Xiong, Xinyu ;
Yan, Yadan ;
Qu, Xiaobo .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2020, 35 (01) :4-25
[5]   Temporal-Difference Learning-Based Stochastic Energy Management for Plug-in Hybrid Electric Buses [J].
Chen, Zheng ;
Li, Liang ;
Hu, Xiaosong ;
Yan, Bingjie ;
Yang, Chao .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (06) :2378-2388
[6]   Life Cycle Assessment of Diesel and Electric Public Transportation Buses [J].
Cooney, Greg ;
Hawkins, Troy R. ;
Marriott, Joe .
JOURNAL OF INDUSTRIAL ECOLOGY, 2013, 17 (05) :689-699
[7]   An analysis of the retail and lifecycle cost of battery-powered electric vehicles [J].
Delucchi, MA ;
Lipman, TE .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2001, 6 (06) :371-404
[8]   Electric vehicle charging point placement optimisation by exploiting spatial statistics and maximal coverage location models [J].
Dong, Guanpeng ;
Ma, Jing ;
Wei, Ran ;
Haycox, Jonathan .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2019, 67 :77-88
[9]   A Stochastic Programming Approach for Electric Vehicle Charging Network Design [J].
Faridimehr, Sina ;
Venkatachalam, Saravanan ;
Chinnam, Ratna Babu .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (05) :1870-1882
[10]   Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips [J].
Gao, Kun ;
Yang, Ying ;
Sun, Lijun ;
Qu, Xiaobo .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2020, 71 :272-287