A quick capacity estimation method for Li-ion battery combining equivalent circuit model and Bayesian network
International Conference on Mechanical Engineering, Measurement Control, and Instrumentation(2021)
Abstract
State of health (SOH) estimation for power battery is critical for reliable and safe operation of electric vehicles (EVs). In
this paper, we propose a novel SOH estimation method combing equivalent circuit model (ECM) and Bayesian network.
Firstly, a Bayesian network for SOH estimation is constructed according to existing knowledge about battery degradation.
Then variables in Bayesian network is estimated by applying recursive least square algorithm with forgetting factor on
first-order RC ECM. Afterwards, the model is trained to obtain the conditional probability distribution for each variable in
Bayesian network. Finally, the effectiveness and accuracy of the model is verified using battery aging data.
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Key words
quick capacity estimation method,bayesian network,equivalent circuit model,li-ion
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