Optimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehicles
Hybrid electric vehicles, which have an internal combustion engine (ICE) and electric motor(s) (EMs), are effective to improve fuel consumption and exhaust emissions. We had constructed a novel energy management system (EMS) considering torque control strategy, in which a function called the torque...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Japanese |
| Published: |
The Japan Society of Mechanical Engineers
2016-03-01
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| Series: | Nihon Kikai Gakkai ronbunshu |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/transjsme/82/836/82_15-00625/_pdf/-char/en |
| _version_ | 1798015173230854144 |
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| author | Marina SAIKYO Satoshi KITAYAMA Yui NISHIO Kojiro TSUTSUMI |
| author_facet | Marina SAIKYO Satoshi KITAYAMA Yui NISHIO Kojiro TSUTSUMI |
| author_sort | Marina SAIKYO |
| collection | DOAJ |
| description | Hybrid electric vehicles, which have an internal combustion engine (ICE) and electric motor(s) (EMs), are effective to improve fuel consumption and exhaust emissions. We had constructed a novel energy management system (EMS) considering torque control strategy, in which a function called the torque control function was introduced to reduce CO2 and NOx emissions. However, only the regenerative braking was used for battery charge in the EMS. In this paper, an improved EMS considering the battery charge by ICE is proposed. To charge the battery, a charge torque considering the target state of charge (SOC) is newly introduced. To determine the torque control function and the charge torque, a sequential approximate optimization using a radial basis function network is adopted. CO2 and NOx are then simultaneously minimized. A multi-objective design optimization is the formulated, and the torque control function and charge torque are determined with a small number of simulation runs. Through the numerical simulation, the validity of proposed EMS is examined. |
| first_indexed | 2024-04-11T15:30:35Z |
| format | Article |
| id | doaj.art-91f37589e2bf4754b4e2bdeae80b0ea7 |
| institution | Directory Open Access Journal |
| issn | 2187-9761 |
| language | Japanese |
| last_indexed | 2024-04-11T15:30:35Z |
| publishDate | 2016-03-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Nihon Kikai Gakkai ronbunshu |
| spelling | doaj.art-91f37589e2bf4754b4e2bdeae80b0ea72022-12-22T04:16:09ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612016-03-018283615-0062515-0062510.1299/transjsme.15-00625transjsmeOptimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehiclesMarina SAIKYO0Satoshi KITAYAMA1Yui NISHIO2Kojiro TSUTSUMI3Kanazawa University, Graduate School of Natural Science & TechnologyKanazawa University, College of Science and EngineeringHonda R&D Co., Ltd.Honda R&D Co., Ltd.Hybrid electric vehicles, which have an internal combustion engine (ICE) and electric motor(s) (EMs), are effective to improve fuel consumption and exhaust emissions. We had constructed a novel energy management system (EMS) considering torque control strategy, in which a function called the torque control function was introduced to reduce CO2 and NOx emissions. However, only the regenerative braking was used for battery charge in the EMS. In this paper, an improved EMS considering the battery charge by ICE is proposed. To charge the battery, a charge torque considering the target state of charge (SOC) is newly introduced. To determine the torque control function and the charge torque, a sequential approximate optimization using a radial basis function network is adopted. CO2 and NOx are then simultaneously minimized. A multi-objective design optimization is the formulated, and the torque control function and charge torque are determined with a small number of simulation runs. Through the numerical simulation, the validity of proposed EMS is examined.https://www.jstage.jst.go.jp/article/transjsme/82/836/82_15-00625/_pdf/-char/enhybrid electric vehiclesenergy managenent systemtorque control functioncharge strategyengineering optimizationsequential approximate optimization |
| spellingShingle | Marina SAIKYO Satoshi KITAYAMA Yui NISHIO Kojiro TSUTSUMI Optimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehicles Nihon Kikai Gakkai ronbunshu hybrid electric vehicles energy managenent system torque control function charge strategy engineering optimization sequential approximate optimization |
| title | Optimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehicles |
| title_full | Optimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehicles |
| title_fullStr | Optimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehicles |
| title_full_unstemmed | Optimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehicles |
| title_short | Optimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehicles |
| title_sort | optimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehicles |
| topic | hybrid electric vehicles energy managenent system torque control function charge strategy engineering optimization sequential approximate optimization |
| url | https://www.jstage.jst.go.jp/article/transjsme/82/836/82_15-00625/_pdf/-char/en |
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