A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations

•A parameter analysis method under complex changes is established.•A compound model with multiple limiting factors is created.•The dynamic online tracking method of multi-state integration is proposed innovatively. As the main candidate of energy storage system for electric vehicles and hybrid elect...

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Vydané v:Journal of energy storage Ročník 40; s. 102583
Hlavní autori: Li, Bowen, Wang, Shunli, Fernandez, Carlos, Yu, Chunmei, Xia, Lili, Fan, Yongcun
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.08.2021
Predmet:
adaptive forgetting factor recursive least square algorithm
electric vehicles;state of power
fusion model
linear recursion algorithm
lithium ion batteries
lithium ion batteries
linear recursion algorithm
adaptive forgetting factor recursive least square algorithm
electric vehicles;state of power
fusion model
ISSN:2352-152X, 2352-1538
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Popis
Shrnutí:•A parameter analysis method under complex changes is established.•A compound model with multiple limiting factors is created.•The dynamic online tracking method of multi-state integration is proposed innovatively. As the main candidate of energy storage system for electric vehicles and hybrid electric vehicles, lithium-ion battery has attracted extensive attention. The working characteristics of the battery under dynamic stress stimulation are complex and changeable. To solve the problem of high-precision state of power estimation, a fusion model based on adaptive forgetting factor recursive least squares identification and voltage and charge state constraints was proposed, and a continuous discharge state of power analysis model for lithium-ion batteries was established. The adaptive forgetting factor recursive least square method based on battery model provides accurate and reliable online parameter identification feedback. The results show that the accuracy error of online parameter identification is less than 0.02V; the combination of the linear recursive algorithm of state of power analysis and the fusion model of voltage and current limit makes the power state estimation more reliable and accurate. The results show that when the battery is t=10s, the peak discharge power error is less than 80W.
ISSN:2352-152X
2352-1538
DOI:10.1016/j.est.2021.102583