Driving-style-oriented multi-objective optimal control of an electric vehicle
This paper investigates multi-objective optimization of electric vehicle (EV) based on features extracted from three driving styles, aiming at coordinating dynamic performance, ride comfort and energy efficiency. First, an unsupervised learning approach is used to clusters real-world driving data, o...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/89827 http://hdl.handle.net/10220/47155 |
| _version_ | 1811686973797040128 |
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| author | Yang, Caixia Lv, Chen Shu, Hongyu Song, Yitong Wang, Huaji Cao, Dongpu |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Yang, Caixia Lv, Chen Shu, Hongyu Song, Yitong Wang, Huaji Cao, Dongpu |
| author_sort | Yang, Caixia |
| collection | NTU |
| description | This paper investigates multi-objective optimization of electric vehicle (EV) based on features extracted from three driving styles, aiming at coordinating dynamic performance, ride comfort and energy efficiency. First, an unsupervised learning approach is used to clusters real-world driving data, obtaining three different driving styles. Then, the preferred performances under distinct driving styles are analyzed, and driving-style-oriented are determined. A model predictive controller is developed so as to handle the formulated multi-objective optimization problem. Simulations are carried out under with the developed controller and system models. Simulation results showed that the proposed controller could well coordinate the dynamic performance, ride comfort and energy efficiency of the 4IWDEV, validating the feasibility and effectiveness of the developed methodology and algorithms. |
| first_indexed | 2024-10-01T05:08:56Z |
| format | Journal Article |
| id | ntu-10356/89827 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:08:56Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/898272023-03-04T17:16:40Z Driving-style-oriented multi-objective optimal control of an electric vehicle Yang, Caixia Lv, Chen Shu, Hongyu Song, Yitong Wang, Huaji Cao, Dongpu School of Mechanical and Aerospace Engineering Hybrid Electric Vehicles DRNTU::Engineering::Mechanical engineering This paper investigates multi-objective optimization of electric vehicle (EV) based on features extracted from three driving styles, aiming at coordinating dynamic performance, ride comfort and energy efficiency. First, an unsupervised learning approach is used to clusters real-world driving data, obtaining three different driving styles. Then, the preferred performances under distinct driving styles are analyzed, and driving-style-oriented are determined. A model predictive controller is developed so as to handle the formulated multi-objective optimization problem. Simulations are carried out under with the developed controller and system models. Simulation results showed that the proposed controller could well coordinate the dynamic performance, ride comfort and energy efficiency of the 4IWDEV, validating the feasibility and effectiveness of the developed methodology and algorithms. Published version 2018-12-21T03:12:49Z 2019-12-06T17:34:23Z 2018-12-21T03:12:49Z 2019-12-06T17:34:23Z 2018 Journal Article Yang, C., Lv, C., Shu, H., Song, Y., Wang, H., & Cao, D. (2018). Driving-style-oriented multi-objective optimal control of an electric vehicle. IFAC-PapersOnLine, 51(31), 274-278. doi: 10.1016/j.ifacol.2018.10.049 2405-8963 https://hdl.handle.net/10356/89827 http://hdl.handle.net/10220/47155 10.1016/j.ifacol.2018.10.049 en IFAC-PapersOnLine © IFAC 2018. This work is posted here by permission of IFAC for your personal use. Not for distribution. The original version was published in ifac-papersonline.net, DOI: 10.1016/j.ifacol.2018.10.049. 5 p. application/pdf |
| spellingShingle | Hybrid Electric Vehicles DRNTU::Engineering::Mechanical engineering Yang, Caixia Lv, Chen Shu, Hongyu Song, Yitong Wang, Huaji Cao, Dongpu Driving-style-oriented multi-objective optimal control of an electric vehicle |
| title | Driving-style-oriented multi-objective optimal control of an electric vehicle |
| title_full | Driving-style-oriented multi-objective optimal control of an electric vehicle |
| title_fullStr | Driving-style-oriented multi-objective optimal control of an electric vehicle |
| title_full_unstemmed | Driving-style-oriented multi-objective optimal control of an electric vehicle |
| title_short | Driving-style-oriented multi-objective optimal control of an electric vehicle |
| title_sort | driving style oriented multi objective optimal control of an electric vehicle |
| topic | Hybrid Electric Vehicles DRNTU::Engineering::Mechanical engineering |
| url | https://hdl.handle.net/10356/89827 http://hdl.handle.net/10220/47155 |
| work_keys_str_mv | AT yangcaixia drivingstyleorientedmultiobjectiveoptimalcontrolofanelectricvehicle AT lvchen drivingstyleorientedmultiobjectiveoptimalcontrolofanelectricvehicle AT shuhongyu drivingstyleorientedmultiobjectiveoptimalcontrolofanelectricvehicle AT songyitong drivingstyleorientedmultiobjectiveoptimalcontrolofanelectricvehicle AT wanghuaji drivingstyleorientedmultiobjectiveoptimalcontrolofanelectricvehicle AT caodongpu drivingstyleorientedmultiobjectiveoptimalcontrolofanelectricvehicle |