EKF-Based a Novel SOC Estimation Algorithm of Lithium-ion Battery
نویسندگان
چکیده
State of charge (SOC) is an essential parameter for battery management system (BMS). Accurate estimation of SOC ensures battery work within a reasonable range, which can prevent over-charge or overdischarge damage to extend battery life. The third-order RC equivalent circuit model is established to describe the characteristics of battery, in which the parameters can be identified by the discharge experiment. For the multiple state variables, strong coupling, stochastic noise, and wild values in the battery system, the principle of superposition is used to decompose the measurement equation so that the separately estimating for state variables to eliminate the coupling relationship between them. A novel SOC estimation method based on Extended Kalman Filtering (EKF) is proposed in this paper. The simulation and experimental results show the validity of the established third-order RC equivalent circuit model, SOC estimation has a high accuracy. Copyright © 2013 IFSA.
منابع مشابه
Online Lithium-Ion Battery Internal Resistance Measurement Application in State-of-Charge Estimation Using the Extended Kalman Filter
The lithium-ion battery is a viable power source for hybrid electric vehicles (HEVs) and, more recently, electric vehicles (EVs). Its performance, especially in terms of state of charge (SOC), plays a significant role in the energy management of these vehicles. The extended Kalman filter (EKF) is widely used to estimate online SOC as an efficient estimation algorithm. However, conventional EKF ...
متن کاملState of Charge Estimation of Lithium-Ion Batteries Using an Adaptive Cubature Kalman Filter
Accurate state of charge (SOC) estimation is of great significance for a lithium-ion battery to ensure its safe operation and to prevent it from over-charging or over-discharging. However, it is difficult to get an accurate value of SOC since it is an inner sate of a battery cell, which cannot be directly measured. This paper presents an Adaptive Cubature Kalman filter (ACKF)-based SOC estimati...
متن کاملEstimation of State of Charge of Lithium-Ion Batteries Used in HEV Using Robust Extended Kalman Filtering
A robust extended Kalman filter (EKF) is proposed as a method for estimation of the state of charge (SOC) of lithium-ion batteries used in hybrid electric vehicles (HEVs). An equivalent circuit model of the battery, including its electromotive force (EMF) hysteresis characteristics and polarization characteristics is used. The effect of the robust EKF gain coefficient on SOC estimation is analy...
متن کاملAdvances in EKF SOC Estimation for LiPB HEV Battery Packs
This paper describes advances in models and methods used to estimate hybrid-electric-vehicle (HEV) battery-pack state-of-charge (SOC) using extended Kalman filtering (EKF). The electrochemical cells in the battery pack are Lithium Ion Polymer based, have a nominal capacity of about 7.5 Ah, and are optimized for power-needy applications. The discharge curve of these cells is very flat, which is ...
متن کاملNumerical investigation of the parameters of a prismatic lithium ion battery under load for electrical vehicle
Electric vehicles and hybrid electric vehicles are a suitable alternative for vehicles with hydrocarbons fuels to reduce pollution and fossil resources. The batteries operate as the driving force for these vehicles. One of the most critical parameters of the battery is computing the state of charge (SOC). The best range for SOC of lithium-ion battery is between 20% and 90%, and charging and dis...
متن کامل