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State of charge estimation framework for lithium‐ion batteries based on square root cubature Kalman filter under wide operation temperature range
Author(s) -
Shen Jiangwei,
Xiong Jian,
Shu Xing,
Li Guang,
Zhang Yuanjian,
Chen Zheng,
Liu Yonggang
Publication year - 2020
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.6186
Subject(s) - state of charge , kalman filter , battery (electricity) , range (aeronautics) , square root , control theory (sociology) , root mean square , atmospheric temperature range , lithium (medication) , compensation (psychology) , mean squared error , lithium ion battery , algorithm , computer science , engineering , mathematics , electrical engineering , thermodynamics , statistics , power (physics) , physics , aerospace engineering , medicine , psychology , geometry , control (management) , artificial intelligence , endocrinology , psychoanalysis
Summary Due to the significant influence of temperature on battery charging and discharging performance, exact evaluation of state of charge (SOC) under complex temperature environment becomes increasingly important. This paper develops an advanced framework to estimate the SOC for lithium‐ion batteries with consideration of temperature variation. First, an accurate electrical model with wide temperature compensation is established, and a series of experiments are carried out under wide range time‐varying temperature from −20°C to 60°C. Then, the genetic algorithm is leveraged to identify the temperature‐dependent model parameters. On this basis, the battery SOC is accurately estimated based on the square root cubature Kalman filter algorithm. Finally, the availability of the proposed method at different temperatures is validated through a complicated mixed working cycle test, and the experimental results manifest that the devised framework can accurately evaluate SOC under wide time‐varying temperature range with the maximum error of less than 2%.