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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Minimum-time optimal control for battery electric vehicles with four wheel-independent drives considering electrical overloading
TL;DR: In this paper, the authors analyzed the performance benefit due to electrical overloading of battery pack and electric motors in battery electric vehicles with four wheel-independent drives and found that the performance enhanc...
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Comparative study of lithium-ion battery open-circuit-voltage online estimation methods
TL;DR: A general discussion for selecting the battery OCV estimation algorithm and modelling process of extended state-space model and autoregressive exogenous model is presented, showing that even if they are less robust to model uncertainty, observer-based methods exhibit better estimation performances than regression-based ones.
Journal ArticleDOI
Survey of Low-Power Electric Vehicles: A Design Automation Perspective
TL;DR: The survey of the guest editors provides a comprehensive introduction to the design process of electric vehicles and provides the necessary knowledge to understand state-of-the-art research of this special issue.
Proceedings ArticleDOI
Low-cost programmable battery dischargers and application in battery model identification
TL;DR: A low-cost programmable battery discharger was built from basic electronic components, the popular MATLAB programming environment, and an low- cost Arduino microcontroller board to demonstrate accuracy of the identified battery parameters and confirm the quality of the measurement.
Proceedings ArticleDOI
A novel state-of-charge estimation method for lithium-ion battery pack of electric vehicles
TL;DR: In this article, a novel state-of-charge estimation method for lithium-ion battery packs of electric vehicles is proposed, which comprises an open circuit voltage source and a resistance-capacitance network connected in series, is built for each cell to characterize its dynamic and static performance.
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.