Combined SOC and SOE estimation of Lithium-ion battery for electric vehicle applications
Document Type
Conference Item
Publication Date
1-1-2020
Abstract
To optimize the energy storage management system of an electric vehicle (xEVs), the accurate monitoring of battery states are needed. In this paper, the simple combined state of charge (SOC) and state of energy (SOE) estimation method is proposed. By using this method, the battery SOC and SOE both can be estimated at a low cost of computational complexity. The relationship between battery SOC and SOE for commercial lithium nickel cobalt chemistry battery is determined and validated under different operating conditions. Experimental results show that the proposed method can effectively estimate the SOC and SOE of the battery under different dynamic operating conditions with high accuracy. The recorded RMSE of SOC and SOE is always less than 1.6 % under all considered operating conditions. The simplicity of the proposed SOC and SOE estimation method helps to reduce the computational burden to the processor used in BMS, and therefore it is suitably implemented in xEV applications.
Keywords
State of charge, State of energy, Lithium-ion battery, Kalman filter, Battery management system
Divisions
fsktm,sch_ecs
Funders
Office of Naval Research (N62909-18-1-2030),Office of Naval Research (IF011-2018)
Publisher
IEEE
Publisher Location
345 E 47TH ST, NEW YORK, NY 10017 USA
Event Title
2020 IEEE Energy Conversion Congress and Exposition (ECCE)
Event Location
Detroit, MI
Event Dates
10-15 October 2020
Event Type
conference
Additional Information
12th Annual IEEE Energy Conversion Congress and Exposition (IEEE ECCE), Detroit, MI, OCT 10-15, 2020