An Improved MPC-based energy management strategy for hydrogen fuel cell EVs featuring dual-motor coupling powertrain
Hydrogen fuel cell electric vehicles (HFCEVs) provide significant environmental benefits. Integrating dual-motor coupling powertrains (DMCPs) further enhances efficiency and dynamic performance. This article proposes an energy management strategy (EMS) for the hydrogen fuel cell/battery/super-capaci...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | Energy Conversion and Management: X |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174525001072 |
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| author | Xinyu Luo Henry Shu-Hung Chung |
| author_facet | Xinyu Luo Henry Shu-Hung Chung |
| author_sort | Xinyu Luo |
| collection | DOAJ |
| description | Hydrogen fuel cell electric vehicles (HFCEVs) provide significant environmental benefits. Integrating dual-motor coupling powertrains (DMCPs) further enhances efficiency and dynamic performance. This article proposes an energy management strategy (EMS) for the hydrogen fuel cell/battery/super-capacitor system in an HFCEV with DMCP. Model predictive control (MPC) is adopted as the framework to optimize economic performance, defined in this study as the hydrogen consumption cost and fuel cell degradation cost. To improve the prediction horizon and accuracy, the torque split ratio for two varying permanent magnet synchronous motors (PMSMs) and the corresponding mode switching rules of the vehicle are initially established. Subsequently, a combination of Dynamic Programming (DP) and MPC is selected as the framework, utilizing a Dung Beetle Optimizer (DBO)-optimized Bidirectional Long Short-Term Memory (BiLSTM) network to refine the predictive model. Finally, comparisons with other predictive models and commonly used control strategies demonstrate that the proposed EMS notably improves economic performance. |
| format | Article |
| id | doaj-art-aeb7310e370c4c1bb746ce7619cfd2fd |
| institution | DOAJ |
| issn | 2590-1745 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Conversion and Management: X |
| spelling | doaj-art-aeb7310e370c4c1bb746ce7619cfd2fd2025-08-20T03:10:27ZengElsevierEnergy Conversion and Management: X2590-17452025-04-012610097510.1016/j.ecmx.2025.100975An Improved MPC-based energy management strategy for hydrogen fuel cell EVs featuring dual-motor coupling powertrainXinyu Luo0Henry Shu-Hung Chung1Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong Special Administrative RegionCorresponding author.; Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong Special Administrative RegionHydrogen fuel cell electric vehicles (HFCEVs) provide significant environmental benefits. Integrating dual-motor coupling powertrains (DMCPs) further enhances efficiency and dynamic performance. This article proposes an energy management strategy (EMS) for the hydrogen fuel cell/battery/super-capacitor system in an HFCEV with DMCP. Model predictive control (MPC) is adopted as the framework to optimize economic performance, defined in this study as the hydrogen consumption cost and fuel cell degradation cost. To improve the prediction horizon and accuracy, the torque split ratio for two varying permanent magnet synchronous motors (PMSMs) and the corresponding mode switching rules of the vehicle are initially established. Subsequently, a combination of Dynamic Programming (DP) and MPC is selected as the framework, utilizing a Dung Beetle Optimizer (DBO)-optimized Bidirectional Long Short-Term Memory (BiLSTM) network to refine the predictive model. Finally, comparisons with other predictive models and commonly used control strategies demonstrate that the proposed EMS notably improves economic performance.http://www.sciencedirect.com/science/article/pii/S2590174525001072Hydrogen fuel cell electric vehicleModel predictive controlEnergy management strategyHybrid energy storage system |
| spellingShingle | Xinyu Luo Henry Shu-Hung Chung An Improved MPC-based energy management strategy for hydrogen fuel cell EVs featuring dual-motor coupling powertrain Energy Conversion and Management: X Hydrogen fuel cell electric vehicle Model predictive control Energy management strategy Hybrid energy storage system |
| title | An Improved MPC-based energy management strategy for hydrogen fuel cell EVs featuring dual-motor coupling powertrain |
| title_full | An Improved MPC-based energy management strategy for hydrogen fuel cell EVs featuring dual-motor coupling powertrain |
| title_fullStr | An Improved MPC-based energy management strategy for hydrogen fuel cell EVs featuring dual-motor coupling powertrain |
| title_full_unstemmed | An Improved MPC-based energy management strategy for hydrogen fuel cell EVs featuring dual-motor coupling powertrain |
| title_short | An Improved MPC-based energy management strategy for hydrogen fuel cell EVs featuring dual-motor coupling powertrain |
| title_sort | improved mpc based energy management strategy for hydrogen fuel cell evs featuring dual motor coupling powertrain |
| topic | Hydrogen fuel cell electric vehicle Model predictive control Energy management strategy Hybrid energy storage system |
| url | http://www.sciencedirect.com/science/article/pii/S2590174525001072 |
| work_keys_str_mv | AT xinyuluo animprovedmpcbasedenergymanagementstrategyforhydrogenfuelcellevsfeaturingdualmotorcouplingpowertrain AT henryshuhungchung animprovedmpcbasedenergymanagementstrategyforhydrogenfuelcellevsfeaturingdualmotorcouplingpowertrain AT xinyuluo improvedmpcbasedenergymanagementstrategyforhydrogenfuelcellevsfeaturingdualmotorcouplingpowertrain AT henryshuhungchung improvedmpcbasedenergymanagementstrategyforhydrogenfuelcellevsfeaturingdualmotorcouplingpowertrain |