Title: Battery ageing management using war optimisation in electric vehicle applications

Authors: Puneet Kaur

Addresses: EEE, UIET, Panjab University, Chandigarh, 160014, India

Abstract: The growing interest in electrical vehicles (EVs) opens new possibilities in the use of lithium-ion batteries (LIB) to provide ancillary grid services while they are plugged into recharging stations. The equivalent circuit model is a type of LIB model that is widely used in EV battery management systems (BMS), which is an essential component of the LIB for managing power and safe operation. The LIB's health may be affected by some factors as abnormal charging-discharging cycles, operating temperature, charge/discharge rate, and ageing. The whole life cycle depends on accurate state of charge (SOC) estimation, and the capacity of a wide temperature range must be surpassed. In this paper, the SOC and state of health (SOH) joint estimation method with a war optimisation strategy (WOA)-based efficient battery ageing model is proposed. The depth of discharge (DOD), maximum battery current, and SOC are considered for achieving the battery ageing model, which uses the multi-objective WOA.

Keywords: BMS; battery management system; SOC; state of charge; DOD; depth of discharge; WOA; war optimisation strategy; battery capacity and temperature.

DOI: 10.1504/IJSSE.2024.135913

International Journal of System of Systems Engineering, 2024 Vol.14 No.1, pp.42 - 61

Received: 14 Dec 2022
Accepted: 24 Dec 2022

Published online: 09 Jan 2024 *

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