The Impact of Operational and Environmental Conditions on Battery Lifetime in Fast Electric Vehicle Charging Systems

被引:1
|
作者
Karunarathna, Jayani S. [1 ]
Madawala, Udaya K. [1 ]
Sandelic, Monika [2 ]
Blaabjerg, Frede [2 ]
Baguley, Craig [3 ]
机构
[1] Univ Auckland, Dept Elect Comp & Software Engn, Auckland 1010, New Zealand
[2] Aalborg Univ, Dept Energy, DK-9220 Aalborg, Denmark
[3] Auckland Univ Technol, Dept Engn Comp & Math Sci, Auckland 1142, New Zealand
关键词
Battery; environmental variations; fast electric vehicle charging systems (FEVCSs); lifetime; operational variations; ION; DEGRADATION; BEHAVIOR; PERFORMANCE; METHODOLOGY; MECHANISMS;
D O I
10.1109/TPEL.2023.3342121
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This article presents a comprehensive analysis of battery lifetime in fast electric vehicle charging systems (FEVCSs) under diverse operational and environmental conditions. A sophisticated lifetime analysis framework, consisting of a battery performance model and a lifetime projection model, is developed to accurately represent the complex interactions between the battery, FEVCS, and surrounding environment on battery lifetime. The impact of various operational conditions on battery lifetime is thoroughly examined under different driving and charging schedules with and without rest periods and with advanced cooling systems. Different FEVCS application sites characterized by ambient temperature profiles are employed to understand the behavior of battery degradation under diverse environmental conditions. The usefulness of the proposed lifetime analysis framework is demonstrated through a case study of an 80 kW FEVCS, showing how the battery lifetime can be affected under fast charging and environmental conditions. The outcomes of this research emphasize the importance of accounting for both operational and environmental conditions, contributing to enhanced battery lifetime predictions.
引用
收藏
页码:4645 / 4656
页数:12
相关论文
共 50 条
  • [31] Reliability Estimation of Wired and Wireless Fast Electric Vehicle Charging Systems
    Karunarathna, Jayani S.
    Madawala, Udaya K.
    Blaabjerg, Frede
    Sandelic, Monika
    Zhang, Kaichen
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2024, 39 (12) : 15584 - 15595
  • [32] Reconfigurable Stationary Battery with Adaptive Cell Switching for Electric Vehicle Fast-Charging
    Engelhardt, Jan
    Gabderakhmanova, Tatiana
    Rohde, Gunnar
    Marinelli, Mattia
    2020 55TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2020,
  • [33] Fast-charging station choice behavior among battery electric vehicle users
    Sun, Xiao-Hui
    Yamamoto, Toshiyuki
    Morikawa, Takayuki
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2016, 46 : 26 - 39
  • [34] Augmenting electric vehicle fast charging stations with battery-flywheel energy storage
    Mouratidis, Panagiotis
    JOURNAL OF ENERGY STORAGE, 2024, 97
  • [35] Impact of incentives for greener battery electric vehicle charging-A field experiment
    Kacperski, Celina
    Ulloa, Roberto
    Klingert, Sonja
    Kirpes, Benedikt
    Kutzner, Florian
    ENERGY POLICY, 2022, 161
  • [36] Impact of Wind Farm and Electric Vehicle Battery Charging Station on Transient Stability
    Bhukya, Jawaharlal
    Yadav, Ashiwani
    Sharma, Poorva
    2021 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2021,
  • [37] Stochastic planning of electric vehicle charging station integrated with photovoltaic and battery systems
    Yan, Dongxiang
    Ma, Chengbin
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (19) : 4217 - 4224
  • [38] Intelligent Maintenance of Electric Vehicle Battery Charging Systems and Networks: Challenges and Opportunities
    Hsu, Yuan-Ming
    Ji, Dai-Yan
    Miller, Marcella
    Jia, Xiaodong
    Lee, Jay
    INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT, 2023, 14 (03) : 21 - 21
  • [39] Design of Battery Charging Control System (Fast Charging) on Electric Vehicle based on Atmega32 Microcontroller
    Hidayah, H. A.
    Somantri, M.
    INTERNATIONAL SYMPOSIUM ON MATERIALS AND ELECTRICAL ENGINEERING (ISMEE) 2017, 2018, 384
  • [40] Stochastic Modeling of Battery Electric Vehicle Driver Behavior: Impact of Charging Infrastructure Deployment on the Feasibility of Battery Electric Vehicles
    Dong, Jing
    Lin, Zhenhong
    TRANSPORTATION RESEARCH RECORD, 2014, (2454) : 61 - 67