scispace - formally typeset
Journal ArticleDOI

State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering

Reads0
Chats0
TLDR
A more accurate battery state of charge (SOC) estimation method for electric drive vehicles is developed based on a nonlinear battery model and an extended Kalman filter supported by experimental data.
Abstract
In this paper, a more accurate battery state of charge (SOC) estimation method for electric drive vehicles is developed based on a nonlinear battery model and an extended Kalman filter (EKF) supported by experimental data. A nonlinear battery model is constructed by separating the model into a nonlinear open circuit voltage and a two-order resistance-capacitance model. EKF is used to eliminate the measurement and process noise and remove the need of prior knowledge of initial SOC. A hardware-in-the-loop test bench was built to validate the method. The experimental results show that the proposed method can estimate the battery SOC with high accuracy.

read more

Citations
More filters
Journal ArticleDOI

Inline state of health estimation of lithium-ion batteries using state of charge calculation

TL;DR: In this paper, an inline SOH and state-of-charge estimation method for Li-ion battery packs, specifically for those based on LiFePO4 chemistry, is presented.
Journal ArticleDOI

Lithium Ion Battery Models and Parameter Identification Techniques

Simone Barcellona, +1 more
- 01 Dec 2017 - 
TL;DR: In this paper, a more complete overview of the different proposed battery models and estimation techniques is presented, and a method for classifying the proposed models based on their approaches is proposed.
Journal ArticleDOI

A Comparative Study on Open Circuit Voltage Models for Lithium-ion Batteries

TL;DR: In this paper, the authors present a comprehensive comparison study on eighteen open circuit voltage (OCV) models which cover the majority of models used in literature, and some recommendations in selecting OCV models for both NMC and LFP cells are given.
Patent

Battery state of charge tracking, equivalent circuit selection and benchmarking

TL;DR: In this article, a library of equivalent circuit models representing a battery is stored in a memory, and an operational mode of a battery based on a load associated with the battery is determined, and a state of charge of charge (SOC) of the battery using the selected equivalent circuit model.
Journal ArticleDOI

Adaptive State-of-Charge Estimation Based on a Split Battery Model for Electric Vehicle Applications

TL;DR: An adaptive SoC estimation method based on the split battery model, which divides the conventional augmented battery model into two submodels: the RC voltage submodel and the SoC submodel, which effectively reduces the oscillation in the estimation and improves the estimation accuracy.
References
More filters
Journal ArticleDOI

Accurate electrical battery model capable of predicting runtime and I-V performance

TL;DR: An accurate, intuitive, and comprehensive electrical battery model is proposed and implemented in a Cadence environment that accounts for all dynamic characteristics of the battery, from nonlinear open-circuit voltage, current-, temperature-, cycle number-, and storage time-dependent capacity to transient response.
Journal ArticleDOI

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification

TL;DR: In this article, an extended Kalman filter (EKF) was used to estimate the battery state of charge, power fade, capacity fade, and instantaneous available power of a hybrid electric vehicle battery pack.
Journal ArticleDOI

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation

TL;DR: In this article, extended Kalman filtering (EKF) is used to estimate battery state-of-charge, power fade, capacity fade, and instantaneous available power for hybrid-electric-vehicle battery packs.
Journal ArticleDOI

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 1. Background

TL;DR: In this paper, an extended Kalman filter (EKF) was proposed to estimate the battery state of charge, power fade, capacity fade, and instantaneous available power of a hybrid-electric-vehicle battery pack.
Journal ArticleDOI

Dynamic lithium-ion battery model for system simulation

TL;DR: In this article, the authors present a complete dynamic model of a lithium ion battery that is suitable for virtual prototyping of portable battery-powered systems, based on publicly available data such as the manufacturers' data sheets.
Related Papers (5)