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%.
| Original language | English |
|---|---|
| Pages (from-to) | 57-69 |
| Number of pages | 13 |
| Journal | International Journal of Electric and Hybrid Vehicles |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2018 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Battery data
- Data compression
- Huffman coding
- Pre-compression
- Run-length coding
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