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Electrochemical Mod...
Electrochemical Model-Based Fast Charging: Physical Constraint-Triggered PI Control
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- Li, Yang, 1984 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Vilathgamuwa, D. Mahinda (author)
- Queensland University of Technology (QUT)
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- Wikner, Evelina, 1987 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Wei, Zhongbao (author)
- Beijing Institute of Technology
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- Zhang, Xinan (author)
- University of Western Australia
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- Thiringer, Torbjörn, 1966 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Wik, Torsten, 1968 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Zou, Changfu, 1987 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2021
- 2021
- English.
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In: IEEE Transactions on Energy Conversion. - 1558-0059 .- 0885-8969. ; 36:4, s. 3208-3220
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Abstract
Subject headings
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- This paper proposes a new fast charging strategy for lithium-ion (Li-ion) batteries. The approach relies on an experimentally validated high-fidelity model describing battery electrochemical and thermal dynamics that determine the fast charging capability. Such a high-dimensional nonlinear dynamic model can be intractable to compute in real-time if it is fused with the extended Kalman filter or the unscented Kalman filter that is commonly used in the community of battery management. To significantly save computational efforts and achieve rapid convergence, the ensemble transform Kalman filter (ETKF) is selected and tailored to estimate the nonuniform Li-ion battery states. Then, a health- and safety-aware charging protocol is proposed based on successively applied proportional-integral (PI) control actions. The controller regulates charging rates using online battery state information and the imposed constraints, in which each PI control action automatically comes into play when its corresponding constraint is triggered. The proposed physical constraint-triggered PI charging control strategy with the ETKF is evaluated and compared with several prevalent alternatives. It shows that the derived controller can achieve close to the optimal solution in terms of charging time and trajectory, as determined by a nonlinear model predictive controller, but at a drastically reduced computational cost.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Electrochemical model
- lithium plating
- fast charging
- lithium-ion (Li-ion) battery
- ensemble transform Kalman filter (ETKF)
Publication and Content Type
- art (subject category)
- ref (subject category)
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- By the author/editor
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Li, Yang, 1984
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Vilathgamuwa, D. ...
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Wikner, Evelina, ...
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Wei, Zhongbao
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Zhang, Xinan
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Thiringer, Torbj ...
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show more...
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Wik, Torsten, 19 ...
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Zou, Changfu, 19 ...
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show less...
- About the subject
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Environmental En ...
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and Energy Systems
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Electrical Engin ...
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and Control Engineer ...
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Electrical Engin ...
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and Other Electrical ...
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IEEE Transaction ...
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Chalmers University of Technology