A novel genetic marginalized particle filter method for state of charge and state of energy estimation adaptive to multi-temperature conditions of lithium-ion batteries.
(2023)
Journal Article
JIA, X., WANG, S., CAO, J., QIAO, J., YANG, X., LI, Y. and FERNANDEZ, C. 2023. A novel genetic marginalized particle filter method for state of charge and state of energy estimation adaptive to multi-temperature conditions of lithium-ion batteries. Journal of energy storage [online], 74(part A), article number 109291. Available from: https://doi.org/10.1016/j.est.2023.109291
Power lithium-ion batteries are widely used in various fields, the battery management system (BMS) is the main object of battery energy management and safety monitoring, so the accurate collaboration of state of charge (SoC) and state of energy (SoE)... Read More about A novel genetic marginalized particle filter method for state of charge and state of energy estimation adaptive to multi-temperature conditions of lithium-ion batteries..