Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification
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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.About:
This article is published in Journal of Power Sources.The article was published on 2004-08-12. It has received 1636 citations till now. The article focuses on the topics: Battery pack & State of charge.read more
Citations
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Proceedings ArticleDOI
Reinforcement learning based power management for hybrid electric vehicles
TL;DR: This work aims at minimizing the HEV fuel consumption over any driving cycle by using a reinforcement learning technique, which is in clear contrast to prior work, which requires deterministic or stochastic knowledge of the driving cycles.
Journal ArticleDOI
Observer based battery SOC estimation: Using multi-gain-switching approach
TL;DR: The common problems encountered in SOC estimations, such as local model inaccuracy, current sensor drifting and data saturation, could be overcome and the computed time is close to that of the Luenberger observer, making it suitable for real embedded applications.
Proceedings ArticleDOI
A battery State of Charge estimation method with extended Kalman filter
TL;DR: In this paper, a battery state of charge (SOC) estimation method based on the extended Kalman filter is proposed, where the battery is modeled as a nonlinear system, with the SOC defined as a system state.
Journal ArticleDOI
Co-Estimation of State-of-Charge and State-of- Health for Lithium-Ion Batteries Using an Enhanced Electrochemical Model
TL;DR: In this article , a scheme using the reduced-order electrochemical model and dual nonlinear filters is presented for the reliable co-estimations of cell state of charge (SOC) and state of health (SOH) in advanced battery management systems.
Journal ArticleDOI
Detection of Internal Short Circuit in Lithium Ion Battery Using Model-Based Switching Model Method
TL;DR: In this article, a model-based switching model method (SMM) is proposed to detect the internal short circuit (ISCr) in the Li-ion battery, which can prevent it from undergoing thermal runaway, and thereby ensure battery safety.
References
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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
Methods for state-of-charge determination and their applications
TL;DR: In this article, the authors introduce commonly used methods for state-of-charge (SOC) determination and establish a relationship between the advantages of different methods and the most common applications.
Journal ArticleDOI
Thermal‐Electrochemical Modeling of Battery Systems
W. B. Gu,Chao Yang Wang +1 more
TL;DR: In this paper, the authors developed a thermal and electrochemical coupled model capable of predicting the spatial distribution and temporal evolution of temperature inside a battery, which can provide valuable internal information to help optimize the battery system in a cost effective manner.
Journal ArticleDOI
A review of state-of-charge indication of batteries by means of a.c. impedance measurements
TL;DR: In this article, a review consolidates the literature on the prediction of the state-of-charge (SoC) of batteries by means of a.c. impedance measurements.