Journal ArticleDOI
State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering
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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
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Journal ArticleDOI
A novel energy management method for series plug-in hybrid electric vehicles
TL;DR: In this paper, an energy management strategy for a series plug-in hybrid electric vehicle is proposed by using quadratic programming and simulated annealing method together to find the optimal battery power commands and the engine-on power.
Journal ArticleDOI
Blockchain and Computational Intelligence Inspired Incentive-Compatible Demand Response in Internet of Electric Vehicles
TL;DR: A contract theory-based incentive mechanism is proposed, in which various contract items are tailored for the unique characteristics of EV types, and a consortium blockchain-enabled secure energy trading framework for electric vehicles (EVs) with moderate cost is proposed.
Journal ArticleDOI
State of Charge Estimation of Lithium-Ion Batteries Using a Discrete-Time Nonlinear Observer
TL;DR: Compared with the extended Kalman filter and the discrete-time sliding mode observer (SMO) algorithms, the proposed DNLO has better performance in reducing the computation cost, improving the estimation accuracy and enhancing the convergence capability.
Journal ArticleDOI
State of charge estimation for Li-ion battery based on model from extreme learning machine
Jiani Du,Zhitao Liu,Youyi Wang +2 more
TL;DR: In this paper, Li-ion (Li-ion) battery state of charge (SOC) estimation using the Kalman filter (KF) variants is studied and improved.
Journal ArticleDOI
Energy management of power-split plug-in hybrid electric vehicles based on simulated annealing and Pontryagin's minimum principle
TL;DR: In this paper, an energy management method for a power-split plug-in hybrid electric vehicle (PHEV) is proposed, where a series of quadratic equations are employed to approximate the vehicle's fuel-rate, using battery current as the input.
References
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Journal ArticleDOI
Accurate electrical battery model capable of predicting runtime and I-V performance
Min Chen,Gabriel A. Rincon-Mora +1 more
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.