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Energies 2017, 10(10), 1503; doi:10.3390/en10101503

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

1
School of Engineering, Temasek Polytechnic, Singapore 529757, Singapore
2
Faculty of Science, Agriculture and Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
3
School of Automotive Engineering, Chongqing University, Chongqing 400044, China
*
Author to whom correspondence should be addressed.
Received: 13 September 2017 / Revised: 23 September 2017 / Accepted: 26 September 2017 / Published: 27 September 2017
(This article belongs to the Section Energy Storage and Application)
View Full-Text   |   Download PDF [6119 KB, uploaded 27 September 2017]   |  

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. View Full-Text
Keywords: lithium-ion; energy-storage system; fault diagnosis; protection; electric vehicle lithium-ion; energy-storage system; fault diagnosis; protection; electric vehicle
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Gao, Z.; Chin, C.S.; Chiew, J.H.K.; Jia, J.; Zhang, C. Design and Implementation of a Smart Lithium-Ion Battery System with Real-Time Fault Diagnosis Capability for Electric Vehicles. Energies 2017, 10, 1503.

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