2013 IEEE International Symposium on Industrial Electronics 2013
DOI: 10.1109/isie.2013.6563887
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Parameter identification of Li-Po batteries in electric vehicles: A comparative study

Abstract: An effective management of the onboard energy storage system is a key point for the development of electric vehicles. This requires the accurate estimation of the battery state over time and in a wide range of operating conditions. The battery state is usually expressed as state-of-charge and state-ofhealth. Its estimation demands an accurate model to represent the static and dynamic behaviour of the battery. Developing such a model requires the online identification of the battery parameters. This paper aims … Show more

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Cited by 43 publications
(39 citation statements)
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“…The first type of methods is generally called traditional identification methods, like fitting method based on Least Squares [8], subspace identification [16], multiple linear regression method [18], and so on. This type of methods is simple and intuitive; however, the identified parameters have larger errors, and hence it is usually used in applications with lower accuracy demand [19,20]. The second type of methods is generally called bionic intelligent optimization algorithms, like PSO [21], genetic algorithm (GA), [22] and so on.…”
Section: Introductionmentioning
confidence: 99%
“…The first type of methods is generally called traditional identification methods, like fitting method based on Least Squares [8], subspace identification [16], multiple linear regression method [18], and so on. This type of methods is simple and intuitive; however, the identified parameters have larger errors, and hence it is usually used in applications with lower accuracy demand [19,20]. The second type of methods is generally called bionic intelligent optimization algorithms, like PSO [21], genetic algorithm (GA), [22] and so on.…”
Section: Introductionmentioning
confidence: 99%
“…Usually, two R-C branches with time constants in the range of seconds and minutes are sufficient to reproduce the battery dynamic behaviour in a way accurate enough for control purposes in a BMS [4], [5]. The values of the R-C parameters can be identified offline by means of electrochemical impedance spectroscopy [6] or pulsed current tests [4], [5] or during the battery operation using, for instance, the Extended Kalman filter or the Moving Window Least Squares method [7], [8].…”
Section: Introductionmentioning
confidence: 99%
“…A comparative analysis of the advantages and disadvantages between MWLS and EKF is summarized in Ref. [13]. According to Ref.…”
Section: Introductionmentioning
confidence: 99%
“…According to Ref. [13], MWLS method is able to quickly trace the variations of parameter with defect of easy to get error under the nonlinear characteristic. However, EKF method is more stable with a slower tracing speed to variations of parameter.…”
Section: Introductionmentioning
confidence: 99%