| Issue |
E3S Web Conf.
Volume 385, 2023
2023 8th International Symposium on Energy Science and Chemical Engineering (ISESCE 2023)
|
|
|---|---|---|
| Article Number | 03025 | |
| Number of page(s) | 5 | |
| Section | Thermochemical Engineering and Waste Treatment | |
| DOI | https://doi.org/10.1051/e3sconf/202338503025 | |
| Published online | 04 May 2023 | |
Rapid Detection Technology for Performance and State of Li-ion Power Batteries
1 School of Engineering, Huzhou University, Huzhou 313000, PR China
2 School of Intelligent Manufacturing, Huzhou College, Huzhou 313000, PR China
Power li-ion batteries are often used in fields such as electric vehicles due to their high energy density, long cycle life, and low self-discharge. To ensure safe, stable, and reliable operation of power li-ion batteries, accurate and effective detection of battery performance is crucial. Conventional detection methods of battery capacity, remaining life, and other battery performance parameters usually require complete charge-discharge cycle data, resulting in long detection times and low efficiency. Therefore, how to achieve rapid detection of battery performance has become a hot research topic with engineering demands. There have been certain research achievements in the rapid detection technology of power li-ion battery performance. This article elaborates on the significance of rapid detection of li-ion power battery performance, summarizes key technologies and technical characteristics related to rapid detection based on current research achievements, and provides reference to the rapid detection of li-ion power battery performance.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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