State of charge estimation for power battery base on improved particle filter

HIGHLIGHTS

• who: Xingtao Liu and collaborators from the School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China have published the paper: State of Charge Estimation for Power Battery Base on Improved Particle Filter, in the Journal: (JOURNAL)
• what: In this paper an improved particle filter (Improved Particle Swarm Optimized Particle Filter IPSO-PF) algorithm is proposed to estimate the state of charge (SOC) of lithium-ion batteries. In this paper, a LiNiMnCo/Graphite lithium-ion battery is selected as the research object, and its basic information is shown in Table 1.
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