EPS: An Efficient Electrochemical-Polarization System Model for
Real-Time Battery Energy Storage System in Autonomous Electric Vehicles
Abstract
This article introduces a new Electrochemical-Polarization System (EPS)
Model to improve lithium-ion battery models for autonomous electric
vehicles (AEVs). The model incorporates an additional RC network to
capture the relaxation effect in these batteries. The Nernst model is
used to express the open-circuit voltage as a function of State of
Charge (SoC), eliminating the need for time-consuming tests. Model
parameters are estimated using the least squares method with data from a
hybrid power pulse characteristic test. Experimental results validate
the accurate simulation of battery behavior over time. Implementing this
model and parameter determination approach eliminates the need for
laborious tests traditionally used for parameter calibration.