Impedance characterization of battery aging paths in energy storage operation mode
Abstract Batteries in different energy storage operation modes show different aging paths, reflecting the differences in the electrochemical impedance characterization of batteries. This paper uses the rated capacity of 60Aꞏh lithium-ion battery for energy storage as an experimental object, analyzes the aging paths of battery in different energy storage operation conditions, respectively, and analyzes the impedance characteristics of the battery before and after the cycle. The results show that the battery ohmic impedance increases to varying degrees in various conditions, indicating that some degree of aging of the battery after cycling can be slowed down by applying a combined path to the battery. The results show that the ohmic impedance of the battery in each condition increases to different degrees, indicating that the battery has a certain degree of aging after cycling, and the aging speed of the battery can be slowed down. Analyzing impedance characteristics of the different aging paths of the battery under different operating conditions can provide support for the optimal operation strategy from the perspective of the internal mechanism of the battery.
Authors
- Jizhong Chen (ORCID: https://orcid.org/0000-0002-0058-219X)
- Tao Yan (ORCID: https://orcid.org/0000-0001-6919-7962)
- Shuili Yang
- Min Zhang (ORCID: https://orcid.org/0009-0008-3588-6477)
- Kaifeng Wang (ORCID: https://orcid.org/0000-0002-3118-8574)
- Xiao Chang (ORCID: https://orcid.org/0000-0003-0266-273X)
- Jun Zhao (ORCID: https://orcid.org/0009-0003-2768-3542)
Institutions
- National Laboratory of the Rockies (US)
- Electric Power Research Institute (US)
- North China Electric Power University (CN)
- State Grid Corporation of China (China) (CN)
- China Electric Power Research Institute
Publication Details
- Journal
- Journal of Physics Conference Series
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1088/1742-6596/2823/1/012026
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00