Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle Subsystems
Current studies have achieved energy savings of vehicle subsystems through various control strategies, but these control strategies lack a benchmark to measure whether these energy savings are sufficient. This work proposes a control design framework that uses the 1.5 °C target in the Paris...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-08-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/16/3170 |
| _version_ | 1811306734645411840 |
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| author | Xu Hu Yisong Chen Zhensen Ding Liang Gu |
| author_facet | Xu Hu Yisong Chen Zhensen Ding Liang Gu |
| author_sort | Xu Hu |
| collection | DOAJ |
| description | Current studies have achieved energy savings of vehicle subsystems through various control strategies, but these control strategies lack a benchmark to measure whether these energy savings are sufficient. This work proposes a control design framework that uses the 1.5 °C target in the Paris Agreement as a benchmark to measure the adequacy of energy savings of vehicle subsystems. This control design framework involves two points. One is the conversion of the 1.5 °C target into a constraint on the energy consumption of a vehicle subsystem. The other is the optimal control design of the vehicle subsystem under this constraint. To describe the specific application of this control design framework, we conduct a case study concerning the control design of active suspension in a battery electric light-duty vehicle. By comparison with a widely used linear quadratic regulator (LQR) method, we find that this control design framework can both ensure the performance comparable to the LQR method and help to meet the 1.5 °C target in the Paris Climate Agreement. In addition, a sensitivity analysis shows that the control effect is hardly changed by battery electric vehicle market share and electricity CO<sub>2</sub> intensity. This work might provide insight on ways that the automotive industry could contribute to the Paris Agreement. |
| first_indexed | 2024-04-13T08:50:48Z |
| format | Article |
| id | doaj.art-396dfa5c5b344a9fadbfe3d5e0c64768 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T08:50:48Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-396dfa5c5b344a9fadbfe3d5e0c647682022-12-22T02:53:30ZengMDPI AGEnergies1996-10732019-08-011216317010.3390/en12163170en12163170Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle SubsystemsXu Hu0Yisong Chen1Zhensen Ding2Liang Gu3School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, ChinaAutomotive Engineering Institute, Guangzhou Automobile Group Co., Ltd., Guangzhou 511434, ChinaSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaCurrent studies have achieved energy savings of vehicle subsystems through various control strategies, but these control strategies lack a benchmark to measure whether these energy savings are sufficient. This work proposes a control design framework that uses the 1.5 °C target in the Paris Agreement as a benchmark to measure the adequacy of energy savings of vehicle subsystems. This control design framework involves two points. One is the conversion of the 1.5 °C target into a constraint on the energy consumption of a vehicle subsystem. The other is the optimal control design of the vehicle subsystem under this constraint. To describe the specific application of this control design framework, we conduct a case study concerning the control design of active suspension in a battery electric light-duty vehicle. By comparison with a widely used linear quadratic regulator (LQR) method, we find that this control design framework can both ensure the performance comparable to the LQR method and help to meet the 1.5 °C target in the Paris Climate Agreement. In addition, a sensitivity analysis shows that the control effect is hardly changed by battery electric vehicle market share and electricity CO<sub>2</sub> intensity. This work might provide insight on ways that the automotive industry could contribute to the Paris Agreement.https://www.mdpi.com/1996-1073/12/16/31701.5 °C target in the Paris Agreementbattery electric vehiclesenergy saving controlactive suspension control |
| spellingShingle | Xu Hu Yisong Chen Zhensen Ding Liang Gu Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle Subsystems Energies 1.5 °C target in the Paris Agreement battery electric vehicles energy saving control active suspension control |
| title | Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle Subsystems |
| title_full | Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle Subsystems |
| title_fullStr | Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle Subsystems |
| title_full_unstemmed | Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle Subsystems |
| title_short | Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle Subsystems |
| title_sort | vehicle optimal control design to meet the 1 5 °c target a control design framework for vehicle subsystems |
| topic | 1.5 °C target in the Paris Agreement battery electric vehicles energy saving control active suspension control |
| url | https://www.mdpi.com/1996-1073/12/16/3170 |
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