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学者姓名：邹松春
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Abstract ：
Road gradients not only affect the actual performance of control strategies but also impact battery life due to the drastic changes in power demands. To balance battery degradation with fuel economy using gradient information, this study proposes a gradient-aware trade-off control strategy. Initially, a vehicle dynamics model and a battery degradation model are established. Based on the characteristics of known road information and remaining driving distance, state of charge planning of the battery is conducted. Subsequently, the Non-dominated Sorting Genetic Algorithm-II is applied for bi-objective optimization, yielding a set of Pareto solutions that represent different levels of energy consumption and battery degradation. Thereafter, by introducing a real-time battery degradation severity factor, an optimized bias coefficient is obtained, which adjusts in accordance with the gradient changes. Through the optimization of the bias line, the optimal bias solution set under different working conditions is determined, achieving the optimal control for power system. The fuel economy of the proposed strategy is improved by 6.8% relative to the mileage adaptive Equivalent Consumption Minimization Strategy, and the battery degradation inhibition is improved by 9.3%. After real-world conditions validation, the proposed strategy demonstrates good performance in both economic efficiency and battery life. © 2024 Hydrogen Energy Publications LLC
Keyword ：
Energy management strategy Energy management strategy Fuel cell electric vehicle Fuel cell electric vehicle Gradient-aware dynamic optimization Gradient-aware dynamic optimization NSGA-II algorithm NSGA-II algorithm
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| GB/T 7714 | Lin, X. , Huang, H. , Xie, L. et al. Gradient-aware trade-off control strategy dynamic optimization for a fuel cell hybrid electric vehicle [J]. | International Journal of Hydrogen Energy , 2024 , 81 : 1107-1120 . |
| MLA | Lin, X. et al. "Gradient-aware trade-off control strategy dynamic optimization for a fuel cell hybrid electric vehicle" . | International Journal of Hydrogen Energy 81 (2024) : 1107-1120 . |
| APA | Lin, X. , Huang, H. , Xie, L. , Zou, S. . Gradient-aware trade-off control strategy dynamic optimization for a fuel cell hybrid electric vehicle . | International Journal of Hydrogen Energy , 2024 , 81 , 1107-1120 . |
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Abstract ：
Road gradients not only affect the actual performance of control strategies but also impact battery life due to the drastic changes in power demands. To balance battery degradation with fuel economy using gradient information, this study proposes a gradient-aware trade-off control strategy. Initially, a vehicle dynamics model and a battery degradation model are established. Based on the characteristics of known road information and remaining driving distance, state of charge planning of the battery is conducted. Subsequently, the Nondominated Sorting Genetic Algorithm-II is applied for bi-objective optimization, yielding a set of Pareto solutions that represent different levels of energy consumption and battery degradation. Thereafter, by introducing a real-time battery degradation severity factor, an optimized bias coefficient is obtained, which adjusts in accordance with the gradient changes. Through the optimization of the bias line, the optimal bias solution set under different working conditions is determined, achieving the optimal control for power system. The fuel economy of the proposed strategy is improved by 6.8% relative to the mileage adaptive Equivalent Consumption Minimization Strategy, and the battery degradation inhibition is improved by 9.3%. After real-world conditions validation, the proposed strategy demonstrates good performance in both economic efficiency and battery life.
Keyword ：
Energy management strategy Energy management strategy Fuel cell electric vehicle Fuel cell electric vehicle Gradient-aware dynamic optimization Gradient-aware dynamic optimization NSGA-II algorithm NSGA-II algorithm
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Lin, Xinyou , Huang, Hao , Xie, Liping et al. Gradient-aware trade-off control strategy dynamic optimization for a fuel cell hybrid electric vehicle [J]. | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY , 2024 , 81 : 1107-1120 . |
| MLA | Lin, Xinyou et al. "Gradient-aware trade-off control strategy dynamic optimization for a fuel cell hybrid electric vehicle" . | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 81 (2024) : 1107-1120 . |
| APA | Lin, Xinyou , Huang, Hao , Xie, Liping , Zou, Songchun . Gradient-aware trade-off control strategy dynamic optimization for a fuel cell hybrid electric vehicle . | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY , 2024 , 81 , 1107-1120 . |
| Export to | NoteExpress RIS BibTex |
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