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

Zuchang Gao, Cheng Siong Chin, Joel Hay King Chiew, Junbo Jia and Caizhi Zhang
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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

Energies, 2017, vol. 10, issue 10, 1-15

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.

Keywords: lithium-ion; energy-storage system; fault diagnosis; protection; electric vehicle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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