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Calibration Optimiz...
Calibration Optimization Methodology for Lithium-Ion Battery Pack Model for Electric Vehicles in Mining Applications
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- Astaneh, Majid, 1990 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Andric, Jelena, 1979 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Löfdahl, Lennart, 1948 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Maggiolo, Dario, 1985 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Stopp, Peter (author)
- Gamma Technologies LLC
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- Moghaddam, Mazyar (author)
- Northvolt AB
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- Chapuis, Michel (author)
- Northvolt AB
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- Ström, Henrik, 1981 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2020-07-08
- 2020
- English.
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In: Energies. - : MDPI AG. - 1996-1073 .- 1996-1073. ; 13:14
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Abstract
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- Large-scale introduction of electric vehicles (EVs) to the market sets outstanding requirements for battery performance to extend vehicle driving range, prolong battery service life, and reduce battery costs. There is a growing need to accurately and robustly model the performance of both individual cells and their aggregated behavior when integrated into battery packs. This paper presents a novel methodology for Lithium-ion (Li-ion) battery pack simulations under actual operating conditions of an electric mining vehicle. The validated electrochemical-thermal models of Li-ion battery cells are scaled up into battery modules to emulate cell-to-cell variations within the battery pack while considering the random variability of battery cells, as well as electrical topology and thermal management of the pack. The performance of the battery pack model is evaluated using transient experimental data for the pack operating conditions within the mining environment. The simulation results show that the relative root mean square error for the voltage prediction is 0.7–1.7% and for the battery pack temperature 2–12%. The proposed methodology is general and it can be applied to other battery chemistries and electric vehicle types to perform multi-objective optimization to predict the performance of large battery packs.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Energiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Energy Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
Keyword
- battery pack
- electrochemical-thermal modeling
- calibration optimization
- lithium-ion battery
- electric vehicle
Publication and Content Type
- art (subject category)
- ref (subject category)
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Energies
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Astaneh, Majid, ...
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Andric, Jelena, ...
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Löfdahl, Lennart ...
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Maggiolo, Dario, ...
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Stopp, Peter
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Moghaddam, Mazya ...
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Chapuis, Michel
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Ström, Henrik, 1 ...
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- About the subject
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Mechanical Engin ...
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and Energy Engineeri ...
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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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Energies
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Chalmers University of Technology