A new method for estimating lithium-ion battery capacity using genetic programming combined model

Created by W.Langdon from gp-bibliography.bib Revision:1.8194

@InProceedings{Yao:2019:PHM,

• author = "Hang Yao and Xiang Jia and Bo Wang and Bo Guo",
• title = "A new method for estimating lithium-ion battery capacity using genetic programming combined model",
• booktitle = "2019 Prognostics and System Health Management Conference (PHM-Qingdao)",
• year = "2019",
• month = oct,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/PHM-Qingdao46334.2019.8942970",
• abstract = "Lithium-ion battery is the main energy source widely used in many fields. Therefore, it is particularly essential for estimating the health of lithium-ion battery accurately, especially in important fields such as aerospace, rail transit and satellite. For lithium-ion battery, the battery capacity is a health index (HI) that best reflects its performance degradation. By estimating the battery capacity, the health status of the lithium-ion battery can be clearly identified. However, there are technical barriers to the direct measurement of battery capacity in engineering, and many characteristics and capacities of lithium-ion batteries have abrupt changes, so that it is difficult to calculate the battery capacity accurately by formula calculation. In this paper, a new method of genetic programming combined model is proposed, which can calculate the capacity of lithium-ion battery by formulating multiple monitored features with a certain precision. Therefore, the functional relationship between multiple features and HI is well measured, which lays a good foundation for the subsequent life prediction of battery.",
• notes = "Also known as \cite{8942970}",

}

Genetic Programming entries for Hang Yao Xiang Jia Bo Wang Bo Guo

Citations