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Correlation Analysis of Automotive Battery State-of-Health Indicators for Advanced Battery Management Systems BJTU: Beijing Jiaotong University
- Format:
- Book
- Conference/Event
- Author/Creator:
- Long, Tianfeng, author.
- Conference Name:
- SAE 2024 Vehicle Powertrain Diversification Technology Forum (2024-12-06 : Xi'An, China)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- With increasing global attention on environmental issues and the greenhouse effect, electric vehicles (EVs) have become a focal point for sustainable transportation solutions. Lithium-ion batteries are integral to EVs due to their high energy density, elevated operating voltage, and long service life. However, their performance is highly influenced by factors such as ambient temperature, charge and discharge rates, and aging processes. To enhance the safety, reliability, and efficiency of lithium-ion battery systems, it is critical to develop a robust and advanced battery management system (BMS) that can monitor battery states accurately and in real-time. A key aspect of BMS design is the estimation and prediction of the battery's state of health (SOH). Accurately characterizing SOH during actual usage conditions is essential for optimal battery performance and longevity. This study investigates various SOH indicator extraction methods reported in the literature, including features related to voltage, temperature, and incremental capacity (IC) curves. Correlation analyses of these indicators are conducted using two experimental datasets. The results demonstrate that the selected indicators have strong correlations with battery SOH, confirming their effectiveness for SOH estimation and prediction. By validating the effectiveness of specific SOH indicators, this research contributes to the development of more reliable and efficient battery management strategies, offering significant practical application value in the advancement of electric vehicle technologies
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-01-7012
- Access Restriction:
- Restricted for use by site license
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