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Battery Lifetime Prognostics
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DOI：10.1016/j.joule.2019.11.018.png)
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摘要
En 中文
Lithium-ion batteries have been widely used in many important applications. However, there are still many challenges facing lithium-ion batteries, one of them being degradation. Battery degradation is a complex problem, which involves many electrochemical side reactions in anode, electrolyte, and cathode. Operating conditions affect degradation significantly and therefore the battery lifetime. It is of extreme importance to achieve accurate predictions of the remaining battery lifetime under various operating conditions. This is essential for the battery management system to ensure reliable operation and timely maintenance and is also critical for battery second-life applications. After introducing the degradation mechanisms, this paper provides a timely and comprehensive review of the battery lifetime prognostic technologies with a focus on recent advances in model-based, data-driven, and hybrid approaches. The details, advantages, and limitations of these approaches are presented, analyzed, and compared. Future trends are presented, and key challenges and opportunities are discussed.
Keyword:
REMAINING USEFUL LIFE
LITHIUM-ION BATTERIES
SOLID-ELECTROLYTE INTERPHASE
PARTICLE SWARM OPTIMIZATION
GAUSSIAN PROCESS REGRESSION
SYSTEM STATE ESTIMATION
CYCLE-LIFE
CAPACITY FADE
2ND LIFE
HEALTH ESTIMATION
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35.4
论文数:
2.3K
被引数:
4.5W
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