Study on Energy Management Strategy for Hybrid Heavy-duty Truck based on Dynamic Programming
In order to further tap the fuel saving potential of hybrid heavy-duty trucks， energy management strategy based on dynamic programming is designed. Firstly， the quasi-static vehicle model of hybrid heavy-duty truck is established based on Matlab software platform， and the mathematical model of dynam...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2020-11-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.11.002 |
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| _version_ | 1841547169877721088 |
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| author | Pei Zhang Xianpan Wu Hongming Xu Changqing Du Biao He |
| author_facet | Pei Zhang Xianpan Wu Hongming Xu Changqing Du Biao He |
| author_sort | Pei Zhang |
| collection | DOAJ |
| description | In order to further tap the fuel saving potential of hybrid heavy-duty trucks， energy management strategy based on dynamic programming is designed. Firstly， the quasi-static vehicle model of hybrid heavy-duty truck is established based on Matlab software platform， and the mathematical model of dynamic programming optimization control is built with the fuel economy taken as the objective function， the state of charge for the batteries taken as the state variable， and the torque distribution proportion coefficient of hybrid system taken as the control variable. Then， based on energy consumption test conditions of heavy-duty hybrid vehicles in China named C-WTVC， the simulation analysis of hybrid heavy-duty truck is carried out. Finally， based on the simulation results of dynamic programming， improved rules are extracted， and the C-WTVC simulation is carried out based on the joint simulation platform of AMESim and Simulink. The simulation results show that， compared with the rule-based energy management strategy， the energy management strategy based on dynamic programming can improve the fuel economy of hybrid heavy-duty trucks by 13.9%， and the control strategy based on improved rules can improve the fuel economy of hybrid heavy-duty trucks by 2.6%， which verifies the effectiveness of the improved rule-based strategy. |
| format | Article |
| id | doaj-art-7d3bf2e1e54b4d24aa3bdf8def4b3b57 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2020-11-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-7d3bf2e1e54b4d24aa3bdf8def4b3b572025-01-10T14:55:10ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392020-11-014471329792976Study on Energy Management Strategy for Hybrid Heavy-duty Truck based on Dynamic ProgrammingPei ZhangXianpan WuHongming XuChangqing DuBiao HeIn order to further tap the fuel saving potential of hybrid heavy-duty trucks， energy management strategy based on dynamic programming is designed. Firstly， the quasi-static vehicle model of hybrid heavy-duty truck is established based on Matlab software platform， and the mathematical model of dynamic programming optimization control is built with the fuel economy taken as the objective function， the state of charge for the batteries taken as the state variable， and the torque distribution proportion coefficient of hybrid system taken as the control variable. Then， based on energy consumption test conditions of heavy-duty hybrid vehicles in China named C-WTVC， the simulation analysis of hybrid heavy-duty truck is carried out. Finally， based on the simulation results of dynamic programming， improved rules are extracted， and the C-WTVC simulation is carried out based on the joint simulation platform of AMESim and Simulink. The simulation results show that， compared with the rule-based energy management strategy， the energy management strategy based on dynamic programming can improve the fuel economy of hybrid heavy-duty trucks by 13.9%， and the control strategy based on improved rules can improve the fuel economy of hybrid heavy-duty trucks by 2.6%， which verifies the effectiveness of the improved rule-based strategy.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.11.002Hybrid heavy-duty truckDynamic programmingEnergy management strategy |
| spellingShingle | Pei Zhang Xianpan Wu Hongming Xu Changqing Du Biao He Study on Energy Management Strategy for Hybrid Heavy-duty Truck based on Dynamic Programming Jixie chuandong Hybrid heavy-duty truck Dynamic programming Energy management strategy |
| title | Study on Energy Management Strategy for Hybrid Heavy-duty Truck based on Dynamic Programming |
| title_full | Study on Energy Management Strategy for Hybrid Heavy-duty Truck based on Dynamic Programming |
| title_fullStr | Study on Energy Management Strategy for Hybrid Heavy-duty Truck based on Dynamic Programming |
| title_full_unstemmed | Study on Energy Management Strategy for Hybrid Heavy-duty Truck based on Dynamic Programming |
| title_short | Study on Energy Management Strategy for Hybrid Heavy-duty Truck based on Dynamic Programming |
| title_sort | study on energy management strategy for hybrid heavy duty truck based on dynamic programming |
| topic | Hybrid heavy-duty truck Dynamic programming Energy management strategy |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.11.002 |
| work_keys_str_mv | AT peizhang studyonenergymanagementstrategyforhybridheavydutytruckbasedondynamicprogramming AT xianpanwu studyonenergymanagementstrategyforhybridheavydutytruckbasedondynamicprogramming AT hongmingxu studyonenergymanagementstrategyforhybridheavydutytruckbasedondynamicprogramming AT changqingdu studyonenergymanagementstrategyforhybridheavydutytruckbasedondynamicprogramming AT biaohe studyonenergymanagementstrategyforhybridheavydutytruckbasedondynamicprogramming |