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Durability comparison of four different types of high-power batteries in HEV and their degradation mechanism analysis

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  • Yan, Dongxiang
  • Lu, Languang
  • Li, Zhe
  • Feng, Xuning
  • Ouyang, Minggao
  • Jiang, Fachao

Abstract

There are many types of high-power batteries used in HEVs, and their durabilities and degradation mechanisms are different. In this paper, four types of commercial high-power batteries, including two types of LTO/NCM lithium-ion battery from two different manufacturers, a C/LMO battery and a supercapacitor (SC), are studied. A durability test with a realistic current profile for an HEV is used so that the durability results more closely reflect real operating conditions than a general cycle life test. Incremental capacity (IC) curves are used to qualitatively analyze the degradation mechanism. To compensate for defects in the IC method, a prognosis model, using a genetic algorithm to reconstruct constant current charge voltage curves, is adopted to quantitatively identify the battery aging mechanism.

Suggested Citation

  • Yan, Dongxiang & Lu, Languang & Li, Zhe & Feng, Xuning & Ouyang, Minggao & Jiang, Fachao, 2016. "Durability comparison of four different types of high-power batteries in HEV and their degradation mechanism analysis," Applied Energy, Elsevier, vol. 179(C), pages 1123-1130.
    • Handle: RePEc:eee:appene:v:179:y:2016:i:c:p:1123-1130
    DOI: 10.1016/j.apenergy.2016.07.054
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    Cited by:

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    2. Chi Zhang & Fuwu Yan & Changqing Du & Jianqiang Kang & Richard Fiifi Turkson, 2017. "Evaluating the Degradation Mechanism and State of Health of LiFePO 4 Lithium-Ion Batteries in Real-World Plug-in Hybrid Electric Vehicles Application for Different Ageing Paths," Energies, MDPI, vol. 10(1), pages 1-13, January.
    3. Pastor-Fernández, Carlos & Yu, Tung Fai & Widanage, W. Dhammika & Marco, James, 2019. "Critical review of non-invasive diagnosis techniques for quantification of degradation modes in lithium-ion batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 138-159.
    4. Zhichao Zhao & Lu Li & Yang Ou & Yi Wang & Shaoyang Wang & Jing Yu & Renhua Feng, 2023. "A Comparative Study on the Energy Flow of Electric Vehicle Batteries among Different Environmental Temperatures," Energies, MDPI, vol. 16(14), pages 1-15, July.
    5. Wen, Jianping & Zhao, Dan & Zhang, Chuanwei, 2020. "An overview of electricity powered vehicles: Lithium-ion battery energy storage density and energy conversion efficiency," Renewable Energy, Elsevier, vol. 162(C), pages 1629-1648.
    6. Hou, Jun & Song, Ziyou & Park, Hyeongjun & Hofmann, Heath & Sun, Jing, 2018. "Implementation and evaluation of real-time model predictive control for load fluctuations mitigation in all-electric ship propulsion systems," Applied Energy, Elsevier, vol. 230(C), pages 62-77.
    7. Hou, Jun & Sun, Jing & Hofmann, Heath, 2018. "Control development and performance evaluation for battery/flywheel hybrid energy storage solutions to mitigate load fluctuations in all-electric ship propulsion systems," Applied Energy, Elsevier, vol. 212(C), pages 919-930.
    8. Pedram Asef & Marzia Milan & Andrew Lapthorn & Sanjeevikumar Padmanaban, 2021. "Future Trends and Aging Analysis of Battery Energy Storage Systems for Electric Vehicles," Sustainability, MDPI, vol. 13(24), pages 1-28, December.

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