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Title: Research on battery data compression method for electric vehicles

Authors: Zunyu Mei; Xiaogang Wu; Xiaoyu Li; Chunbo Zhu

Addresses: College of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin 150080, China ' College of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin 150080, China; State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China ' School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China ' School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

Abstract: The transmission and storage of electric vehicle battery management system (BMS) data are time consuming and infeasible, which reduces the efficiency of data transmission and storage. For this problem, this paper presents a method of battery data compression, the pre-compression is to reduce the amount of data and improve the data redundancy and repeatability, and a strategy was formulated that two universal compression methods, Huffman coding and run-length coding, were applied to different battery data. Experimental results show the method of battery data compression can obtain a good compressibility. The battery data compressibility of this paper was about 21%.

Keywords: battery data; data compression; pre-compression; Huffman coding; run-length coding.

DOI: 10.1504/IJEHV.2018.093068

International Journal of Electric and Hybrid Vehicles, 2018 Vol.10 No.1, pp.57 - 69

Available online: 26 Jun 2018 *

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