A Digitalized Methodology for Co-Design Structural and Performance Optimization of Battery Modules
In this study, we present an innovative, fully automated, and digitalized methodology to optimize the energy efficiency and cost effectiveness of Li-ion battery modules. Advancing on from today’s optimization schemes that rely on user experience and other limitations, the mechanical and thermal desi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/15/3/115 |
| _version_ | 1827304762437009408 |
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| author | Theodoros Kalogiannis Md Sazzad Hosen Joeri Van Mierlo Peter Van Den Bossche Maitane Berecibar |
| author_facet | Theodoros Kalogiannis Md Sazzad Hosen Joeri Van Mierlo Peter Van Den Bossche Maitane Berecibar |
| author_sort | Theodoros Kalogiannis |
| collection | DOAJ |
| description | In this study, we present an innovative, fully automated, and digitalized methodology to optimize the energy efficiency and cost effectiveness of Li-ion battery modules. Advancing on from today’s optimization schemes that rely on user experience and other limitations, the mechanical and thermal designs are optimized simultaneously in this study by coupling 3D multi-physical behavior models to multi-objective heuristic optimization algorithms. Heat generation at various loading and ambient conditions are estimated with a physics-based, fractional-order battery cell-level model, which is extrapolated to a module that further accounts for the interconnected cells’ heat transfer phenomena. Several key performance indicators such as the surface temperature increase, the temperature variations on the cells, and heat uniformity within the module are recorded. For the air-cooled study case, the proposed coupled framework performs more than 250 module evaluations in a relatively short time for the whole available electro-thermal-mechanical design space, thereby ensuring global optimal results in the final design. The optimal module design proposed by this method is built in this work, and it is experimentally evaluated with a module composed of 12 series-connected Li-ion NMC/C 43Ah prismatic battery cells. The performance is validated at various conditions, which is achieved by accounting the thermal efficiency and pressure drop with regard to power consumption improvements. The validations presented in this study verify the applicability and overall efficiency of the proposed methodology, as well as paves the way toward better energy and cost-efficient battery systems. |
| first_indexed | 2024-04-24T17:44:37Z |
| format | Article |
| id | doaj.art-04fcfc75be1c43b3983d939fbaee8566 |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-04-24T17:44:37Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-04fcfc75be1c43b3983d939fbaee85662024-03-27T14:08:40ZengMDPI AGWorld Electric Vehicle Journal2032-66532024-03-0115311510.3390/wevj15030115A Digitalized Methodology for Co-Design Structural and Performance Optimization of Battery ModulesTheodoros Kalogiannis0Md Sazzad Hosen1Joeri Van Mierlo2Peter Van Den Bossche3Maitane Berecibar4Battery Innovation Centre, MOBI Research Group, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussel, BelgiumBattery Innovation Centre, MOBI Research Group, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussel, BelgiumBattery Innovation Centre, MOBI Research Group, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussel, BelgiumBattery Innovation Centre, MOBI Research Group, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussel, BelgiumBattery Innovation Centre, MOBI Research Group, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussel, BelgiumIn this study, we present an innovative, fully automated, and digitalized methodology to optimize the energy efficiency and cost effectiveness of Li-ion battery modules. Advancing on from today’s optimization schemes that rely on user experience and other limitations, the mechanical and thermal designs are optimized simultaneously in this study by coupling 3D multi-physical behavior models to multi-objective heuristic optimization algorithms. Heat generation at various loading and ambient conditions are estimated with a physics-based, fractional-order battery cell-level model, which is extrapolated to a module that further accounts for the interconnected cells’ heat transfer phenomena. Several key performance indicators such as the surface temperature increase, the temperature variations on the cells, and heat uniformity within the module are recorded. For the air-cooled study case, the proposed coupled framework performs more than 250 module evaluations in a relatively short time for the whole available electro-thermal-mechanical design space, thereby ensuring global optimal results in the final design. The optimal module design proposed by this method is built in this work, and it is experimentally evaluated with a module composed of 12 series-connected Li-ion NMC/C 43Ah prismatic battery cells. The performance is validated at various conditions, which is achieved by accounting the thermal efficiency and pressure drop with regard to power consumption improvements. The validations presented in this study verify the applicability and overall efficiency of the proposed methodology, as well as paves the way toward better energy and cost-efficient battery systems.https://www.mdpi.com/2032-6653/15/3/115lithium-ionelectro-thermal modelbattery thermal managementmulti-physics and multi-objective optimizationparticle swarm optimizationenergy storage |
| spellingShingle | Theodoros Kalogiannis Md Sazzad Hosen Joeri Van Mierlo Peter Van Den Bossche Maitane Berecibar A Digitalized Methodology for Co-Design Structural and Performance Optimization of Battery Modules World Electric Vehicle Journal lithium-ion electro-thermal model battery thermal management multi-physics and multi-objective optimization particle swarm optimization energy storage |
| title | A Digitalized Methodology for Co-Design Structural and Performance Optimization of Battery Modules |
| title_full | A Digitalized Methodology for Co-Design Structural and Performance Optimization of Battery Modules |
| title_fullStr | A Digitalized Methodology for Co-Design Structural and Performance Optimization of Battery Modules |
| title_full_unstemmed | A Digitalized Methodology for Co-Design Structural and Performance Optimization of Battery Modules |
| title_short | A Digitalized Methodology for Co-Design Structural and Performance Optimization of Battery Modules |
| title_sort | digitalized methodology for co design structural and performance optimization of battery modules |
| topic | lithium-ion electro-thermal model battery thermal management multi-physics and multi-objective optimization particle swarm optimization energy storage |
| url | https://www.mdpi.com/2032-6653/15/3/115 |
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