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Design and Implementation of a Smart Lithium-Ion Battery System with Real-Time Fault Diagnosis Capability for Electric Vehicles

Author

Listed:
  • Zuchang Gao

    (School of Engineering, Temasek Polytechnic, Singapore 529757, Singapore)

  • Cheng Siong Chin

    (Faculty of Science, Agriculture and Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Joel Hay King Chiew

    (School of Engineering, Temasek Polytechnic, Singapore 529757, Singapore)

  • Junbo Jia

    (School of Engineering, Temasek Polytechnic, Singapore 529757, Singapore)

  • Caizhi Zhang

    (School of Automotive Engineering, Chongqing University, Chongqing 400044, China)

Abstract

Lithium-ion battery (LIB) power systems have been commonly used for energy storage in electric vehicles. However, it is quite challenging to implement a robust real-time fault diagnosis and protection scheme to ensure battery safety and performance. This paper presents a resilient framework for real-time fault diagnosis and protection in a battery-power system. Based on the proposed system structure, the self-initialization scheme for state-of-charge (SOC) estimation and the fault-diagnosis scheme were tested and implemented in an actual 12-cell series battery-pack prototype. The experimental results validated that the proposed system can estimate the SOC, diagnose the fault and provide necessary protection and self-recovery actions under the load profile for an electric vehicle.

Suggested Citation

  • Zuchang Gao & Cheng Siong Chin & Joel Hay King Chiew & Junbo Jia & Caizhi Zhang, 2017. "Design and Implementation of a Smart Lithium-Ion Battery System with Real-Time Fault Diagnosis Capability for Electric Vehicles," Energies, MDPI, vol. 10(10), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1503-:d:113447
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    References listed on IDEAS

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    1. Zhihao Yu & Ruituo Huai & Linjing Xiao, 2015. "State-of-Charge Estimation for Lithium-Ion Batteries Using a Kalman Filter Based on Local Linearization," Energies, MDPI, vol. 8(8), pages 1-20, July.
    2. Hannan, M.A. & Lipu, M.S.H. & Hussain, A. & Mohamed, A., 2017. "A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 834-854.
    3. Zheng, Fangdan & Xing, Yinjiao & Jiang, Jiuchun & Sun, Bingxiang & Kim, Jonghoon & Pecht, Michael, 2016. "Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries," Applied Energy, Elsevier, vol. 183(C), pages 513-525.
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    Cited by:

    1. Minhwan Seo & Taedong Goh & Minjun Park & Sang Woo Kim, 2018. "Detection Method for Soft Internal Short Circuit in Lithium-Ion Battery Pack by Extracting Open Circuit Voltage of Faulted Cell," Energies, MDPI, vol. 11(7), pages 1-18, June.
    2. Xiaolin Wang & Ka Wai Eric Cheng & Yat Chi Fong, 2018. "Non-Equal Voltage Cell Balancing for Battery and Super-Capacitor Source Package Management System Using Tapped Inductor Techniques," Energies, MDPI, vol. 11(5), pages 1-12, April.
    3. Hongrui Liu & Bo Li & Yixuan Guo & Chunfeng Du & Shilong Chen & Sizhao Lu, 2018. "Research into an Efficient Energy Equalizer for Lithium-Ion Battery Packs," Energies, MDPI, vol. 11(12), pages 1-11, December.
    4. Jong-Hyun Lee & In-Soo Lee, 2021. "Lithium Battery SOH Monitoring and an SOC Estimation Algorithm Based on the SOH Result," Energies, MDPI, vol. 14(15), pages 1-16, July.
    5. Bumin Meng & Yaonan Wang & Jianxu Mao & Jianwen Liu & Guochang Xu & Jian Dai, 2018. "Using SoC Online Correction Method Based on Parameter Identification to Optimize the Operation Range of NI-MH Battery for Electric Boat," Energies, MDPI, vol. 11(3), pages 1-20, March.
    6. Xintian Liu & Zhihao Wan & Yao He & Xinxin Zheng & Guojian Zeng & Jiangfeng Zhang, 2018. "A Unified Control Strategy for Inductor-Based Active Battery Equalisation Schemes," Energies, MDPI, vol. 11(2), pages 1-16, February.
    7. Shun Xiang & Guangdi Hu & Ruisen Huang & Feng Guo & Pengkai Zhou, 2018. "Lithium-Ion Battery Online Rapid State-of-Power Estimation under Multiple Constraints," Energies, MDPI, vol. 11(2), pages 1-20, January.
    8. Xiao Yang & Long Chen & Xing Xu & Wei Wang & Qiling Xu & Yuzhen Lin & Zhiguang Zhou, 2017. "Parameter Identification of Electrochemical Model for Vehicular Lithium-Ion Battery Based on Particle Swarm Optimization," Energies, MDPI, vol. 10(11), pages 1-16, November.
    9. Cheng Siong Chin & Zuchang Gao & Joel Hay King Chiew & Caizhi Zhang, 2018. "Nonlinear Temperature-Dependent State Model of Cylindrical LiFePO 4 Battery for Open-Circuit Voltage, Terminal Voltage and State-of-Charge Estimation with Extended Kalman Filter," Energies, MDPI, vol. 11(9), pages 1-28, September.
    10. Chuan-Wei Zhang & Ke-Jun Xu & Lin-Yang Li & Man-Zhi Yang & Huai-Bin Gao & Shang-Rui Chen, 2018. "Study on a Battery Thermal Management System Based on a Thermoelectric Effect," Energies, MDPI, vol. 11(2), pages 1-15, January.

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