Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability
Electrified transportation requires batteries with high energy density and high-rate capability for both charging and discharging. Li-ion batteries (LiBs) face a dilemma: increasing areal capacity and reducing electrode porosity to boost energy density often reduces rate capability due to a longer a...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Energy and AI |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S266654682400082X |
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| author | Xiao-Ying Ma Wen-Ke Zhang Ying Yin Kailong Liu Xiao-Guang Yang |
| author_facet | Xiao-Ying Ma Wen-Ke Zhang Ying Yin Kailong Liu Xiao-Guang Yang |
| author_sort | Xiao-Ying Ma |
| collection | DOAJ |
| description | Electrified transportation requires batteries with high energy density and high-rate capability for both charging and discharging. Li-ion batteries (LiBs) face a dilemma: increasing areal capacity and reducing electrode porosity to boost energy density often reduces rate capability due to a longer and more tortuous ion transfer path. Tailoring cell design parameters to balance these metrics is essential but challenging. Here, we present a multi-objective optimization framework targeting energy density, fast charging, high-rate discharging, and lifespan simultaneously. Four cell parameters—cathode areal capacity, N-P ratio, cathode porosity, and anode porosity—along with operating temperature, are selected as design variables. A physics-based pseudo-2D model, validated against experimental data, generates data to train the surrogate model, which is combined with the NSGA-II algorithm for rapid optimization. Three different objective calculation methods are compared to identify the maximum sum of energy densities, lowest polarization, and most balanced performance, respectively. Cell design parameters are optimized at different temperatures using the most balanced optimization method. Results demonstrate that elevating cell operating temperature achieves high-rate capability while maintaining high energy density, mitigating the energy-power trade-off and broadening battery design parameter ranges. |
| format | Article |
| id | doaj-art-77e1db0fa41841e0bcf1dbf7858d9d01 |
| institution | DOAJ |
| issn | 2666-5468 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy and AI |
| spelling | doaj-art-77e1db0fa41841e0bcf1dbf7858d9d012025-08-20T02:49:44ZengElsevierEnergy and AI2666-54682024-12-011810041610.1016/j.egyai.2024.100416Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capabilityXiao-Ying Ma0Wen-Ke Zhang1Ying Yin2Kailong Liu3Xiao-Guang Yang4National Engineering Research Center of Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing,100081, ChinaNational Engineering Research Center of Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing,100081, ChinaShenzhen Automotive Research Institute, Beijing Institute of Technology, Shenzhen, 518118, Guangdong, ChinaSchool of Control Science and Engineering, Shandong University, Jinan, 250100, ChinaNational Engineering Research Center of Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing,100081, China; Shenzhen Automotive Research Institute, Beijing Institute of Technology, Shenzhen, 518118, Guangdong, China; Corresponding author.Electrified transportation requires batteries with high energy density and high-rate capability for both charging and discharging. Li-ion batteries (LiBs) face a dilemma: increasing areal capacity and reducing electrode porosity to boost energy density often reduces rate capability due to a longer and more tortuous ion transfer path. Tailoring cell design parameters to balance these metrics is essential but challenging. Here, we present a multi-objective optimization framework targeting energy density, fast charging, high-rate discharging, and lifespan simultaneously. Four cell parameters—cathode areal capacity, N-P ratio, cathode porosity, and anode porosity—along with operating temperature, are selected as design variables. A physics-based pseudo-2D model, validated against experimental data, generates data to train the surrogate model, which is combined with the NSGA-II algorithm for rapid optimization. Three different objective calculation methods are compared to identify the maximum sum of energy densities, lowest polarization, and most balanced performance, respectively. Cell design parameters are optimized at different temperatures using the most balanced optimization method. Results demonstrate that elevating cell operating temperature achieves high-rate capability while maintaining high energy density, mitigating the energy-power trade-off and broadening battery design parameter ranges.http://www.sciencedirect.com/science/article/pii/S266654682400082XLithium-ion batteriesMulti-objective optimizationBattery designFast chargingLithium plating |
| spellingShingle | Xiao-Ying Ma Wen-Ke Zhang Ying Yin Kailong Liu Xiao-Guang Yang Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability Energy and AI Lithium-ion batteries Multi-objective optimization Battery design Fast charging Lithium plating |
| title | Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability |
| title_full | Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability |
| title_fullStr | Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability |
| title_full_unstemmed | Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability |
| title_short | Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability |
| title_sort | multi objective optimization of lithium ion battery designs considering the dilemma between energy density and rate capability |
| topic | Lithium-ion batteries Multi-objective optimization Battery design Fast charging Lithium plating |
| url | http://www.sciencedirect.com/science/article/pii/S266654682400082X |
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