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.
About: This article is published in Journal of Power Sources.The article was published on 2004-08-12. It has received 1587 citations till now. The article focuses on the topics: Battery pack & State of charge.
Citations
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TL;DR: In this article, a brief introduction to the composition of the battery management system (BMS) and its key issues such as battery cell voltage measurement, battery states estimation, battery uniformity and equalization, battery fault diagnosis and so on, is given.
3,650 citations
TL;DR: In this paper, a review of the lithium ion battery hazards, thermal runaway theory, basic reactions, thermal models, simulations and experimental works is presented, and the related prevention techniques are summarized and discussed on the inherent safety methods and safety device methods.
1,825 citations
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.
1,636 citations
Cites background or methods from "Extended Kalman filtering for batte..."
...Our model has many similarities to a circuit model, except that our fundamental “state” is SOC, not OCV....
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...Keywords:Battery management system (BMS); Hybrid electric vehicle (HEV); Extended Kalman filter (EKF); State of charge (SOC); State of health (SOH); Lithium-ion polymer battery (LiPB)...
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TL;DR: In this paper, a comparative study of twelve equivalent circuit models for Li-ion batteries is presented, which are selected from state-of-the-art lumped models reported in the literature.
1,463 citations
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.
1,260 citations
References
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23,905 citations
01 Jan 2001
TL;DR: In this paper, the clssical filleting and prediclion problem is re-examined using the Bode-Shannon representation of random processes and the?stat-tran-sition? method of analysis of dynamic systems.
Abstract: The clssical filleting and prediclion problem is re-examined using the Bode-Shannon representation of random processes and the ?stat-tran-sition? method of analysis of dynamic systems. New result are: (1) The formulation and Methods of solution of the problm apply, without modification to stationary and nonstationary stalistics end to growing-memory and infinile -memory filters. (2) A nonlinear difference (or differential) equalion is dericed for the covariance matrix of the optimal estimalion error. From the solution of this equation the coefficients of the difference, (or differential) equation of the optimal linear filter are obtained without further caleulations. (3) Tke fillering problem is shoum to be the dual of the nois-free regulator problem. The new method developed here, is applied to do well-known problems, confirming and extending, earlier results. The discussion is largely, self-contatained, and proceeds from first principles; basic concepts of the theory of random processes are reviewed in the Appendix.
15,391 citations
"Extended Kalman filtering for batte..." refers methods in this paper
...The EKF, however, is an extension of the optimal recursive estimation method first developed by Kalman in 1960 [33,34]....
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Book•
08 Oct 2001
TL;DR: This book takes a nontraditional nonlinear approach and reflects the fact that most practical applications are nonlinear.
Abstract: From the Publisher:
Kalman filtering is a well-established topic in the field of control and signal processing and represents by far the most refined method for the design of neural networks. This book takes a nontraditional nonlinear approach and reflects the fact that most practical applications are nonlinear. The book deals with important applications in such fields as control, financial forecasting, and idle speed control.
1,960 citations
"Extended Kalman filtering for batte..." refers methods in this paper
...With these two systems defined, we can apply the standard procedure of dual extended Kalman filtering [31]....
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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.
1,636 citations
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.
1,260 citations