Abstract
Lithium ion battery as a kind of new energy is a promising energy storage medium for electric and hybrid electric vehicles with their characteristics of lightness and high energy density. However, some accidents about battery fire or explosion remind us to focus on their reliability and safety issues. Thus, life prediction as the essential part should be considered during the design phrase of batteries to guarantee the safety and reliability level. In this paper, a new life prediction method based on gas production model of batteries has been proposed. Firstly, based on analysis result of actual gas production mechanism, types of chemical reactions existed in batteries can be determined. Then, through theoretical analysis of these chemical reactions combined with capacity change of battery, the whole gas behavior is divided into two stages. It includes the initial solid electrolyte interface formation stage and the stage of solid electrolyte interface being severely damaged and repaired. Gas production equation of each stage has been constructed. Based on these gas equations, quantitative relationship between the battery capacity and the characteristics of gas production is investigated. With a suitable end-of-life criterion, the application-oriented life prediction model for lithium ion batteries is established. Finally, the verification procedure is presented based on actual test data to validate our method and its advantages. This paper aims to achieve deeper understanding gas behavior of lithium ion batteries and further develop corresponding life prediction method to provide a theoretical basis for future design improvement.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017 |
| Editors | Wei Guo, Jose Valente de Oliveira, Chuan Li, Yun Bai, Ping Ding, Juanjuan Shi |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 275-280 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509040209 |
| DOIs | |
| State | Published - 9 Dec 2017 |
| Event | 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017 - Shanghai, China Duration: 16 Aug 2017 → 18 Aug 2017 |
Publication series
| Name | Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017 |
|---|---|
| Volume | 2017-December |
Conference
| Conference | 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 16/08/17 → 18/08/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Capacity
- Electric vehicle
- Gas production model
- Life prediction
- Lithium ion battery
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