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Energies 2017, 10(11), 1751; doi:10.3390/en10111751

A Novel Methodology for Estimating State-Of-Charge of Li-Ion Batteries Using Advanced Parameters Estimation

Electrical Engineering Department, Northwestern Polytechnical University, Xi’an 710065, China
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Received: 4 October 2017 / Revised: 26 October 2017 / Accepted: 26 October 2017 / Published: 1 November 2017
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Abstract

State-of-charge (SOC) estimations of Li-ion batteries have been the focus of many research studies in previous years. Many articles discussed the dynamic model’s parameters estimation of the Li-ion battery, where the fixed forgetting factor recursive least square estimation methodology is employed. However, the change rate of each parameter to reach the true value is not taken into consideration, which may tend to poor estimation. This article discusses this issue, and proposes two solutions to solve it. The first solution is the usage of a variable forgetting factor instead of a fixed one, while the second solution is defining a vector of forgetting factors, which means one factor for each parameter. After parameters estimation, a new idea is proposed to estimate state-of-charge (SOC) of the Li-ion battery based on Newton’s method. Also, the error percentage and computational cost are discussed and compared with that of nonlinear Kalman filters. This methodology is applied on a 36 V 30 A Li-ion pack to validate this idea. View Full-Text
Keywords: dynamic model of Li-ion battery; variable forgetting factor recursive least square (RLS) estimator; multiple forgetting factors RLS estimator; state-of-charge (SOC) estimation using Newton’s method dynamic model of Li-ion battery; variable forgetting factor recursive least square (RLS) estimator; multiple forgetting factors RLS estimator; state-of-charge (SOC) estimation using Newton’s method
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MDPI and ACS Style

Safwat, I.M.; Li, W.; Wu, X. A Novel Methodology for Estimating State-Of-Charge of Li-Ion Batteries Using Advanced Parameters Estimation. Energies 2017, 10, 1751.

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