Adaptive Smooth Variable Structure Filter Strategy for State Estimation of Electric Vehicle Batteries

Sara Rahimifard, Saeid Habibi, Gillian Goward and Jimi Tjong
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Sara Rahimifard: Department of Mechanical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
Saeid Habibi: Department of Mechanical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
Gillian Goward: Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON L8S 4L8, Canada
Jimi Tjong: Department of Mechanical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada

Energies, 2021, vol. 14, issue 24, 1-19

Abstract: Battery Management Systems (BMSs) are used to manage the utilization of batteries and their operation in Electric and Hybrid Vehicles. It is imperative for efficient and safe operation of batteries to be able to accurately estimate the State of Charge (SoC), State of Health (SoH) and State of Power (SoP). The SoC and SoH estimation must remain robust and accurate despite aging and in presence of noise, uncertainties and sensor biases. This paper introduces a robust adaptive filter referred to as the Adaptive Smooth Variable Structure Filter with a time-varying Boundary Layer (ASVSF-VBL) for the estimation of the SoC and SoH in electrified vehicles. The internal model of the filter is a third-order equivalent circuit model (ECM) and its state vector is augmented to enable estimation of the internal resistance and current bias. It is shown that system and measurement noise covariance adaptation for the SVSF-VBL approach improves the performance in state estimation of a battery. The estimated internal resistance is then utilized to improve determination of the battery’s SoH. The effectiveness of the proposed method is validated using experimental data from tests on Lithium Polymer automotive batteries. The results indicate that the SoC estimation error can remain within less than 2 % over the full operating range of SoC along with an accurate estimation of SoH.

Keywords: electric vehicle; lithium-ion battery; battery management system; adaptive smooth variable structure filter; state of charge; state of health (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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