Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving Vehicles
Conclusive evidence has demonstrated the critical importance of highly automated driving systems and regenerative braking systems in improving driving safety and economy. However, the traditional regenerative braking system cannot be applied to highly automated driving vehicles. Therefore, this pape...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/12/3/112 |
| _version_ | 1827681048699338752 |
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| author | Liang Chu Yanwu Xu Di Zhao Cheng Chang |
| author_facet | Liang Chu Yanwu Xu Di Zhao Cheng Chang |
| author_sort | Liang Chu |
| collection | DOAJ |
| description | Conclusive evidence has demonstrated the critical importance of highly automated driving systems and regenerative braking systems in improving driving safety and economy. However, the traditional regenerative braking system cannot be applied to highly automated driving vehicles. Therefore, this paper proposes a fully decoupled regenerative braking system for highly automated driving vehicles, which has two working modes: conventional braking and redundant braking. Aimed at the above two working modes, this paper respectively proposes the pressure control algorithm, based on P-V characteristics, and the pressure control algorithm, based on the overflow characteristics of the solenoid valve. AMESim is utilized as the simulation platform, and then is co-simulated with MATLAB/Simulink, which is embedded with the control algorithm. The simulation results show the feasibility and effectiveness of the regenerative braking system and the pressure control algorithm. |
| first_indexed | 2024-03-10T07:07:54Z |
| format | Article |
| id | doaj.art-a0c574325f8d47df88005cf08b8a2fef |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-10T07:07:54Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-a0c574325f8d47df88005cf08b8a2fef2023-11-22T15:42:11ZengMDPI AGWorld Electric Vehicle Journal2032-66532021-08-0112311210.3390/wevj12030112Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving VehiclesLiang Chu0Yanwu Xu1Di Zhao2Cheng Chang3College of Automotive Engineering, Jilin University, Changchun 130022, ChinaCollege of Automotive Engineering, Jilin University, Changchun 130022, ChinaCollege of Automotive Engineering, Jilin University, Changchun 130022, ChinaCollege of Automotive Engineering, Jilin University, Changchun 130022, ChinaConclusive evidence has demonstrated the critical importance of highly automated driving systems and regenerative braking systems in improving driving safety and economy. However, the traditional regenerative braking system cannot be applied to highly automated driving vehicles. Therefore, this paper proposes a fully decoupled regenerative braking system for highly automated driving vehicles, which has two working modes: conventional braking and redundant braking. Aimed at the above two working modes, this paper respectively proposes the pressure control algorithm, based on P-V characteristics, and the pressure control algorithm, based on the overflow characteristics of the solenoid valve. AMESim is utilized as the simulation platform, and then is co-simulated with MATLAB/Simulink, which is embedded with the control algorithm. The simulation results show the feasibility and effectiveness of the regenerative braking system and the pressure control algorithm.https://www.mdpi.com/2032-6653/12/3/112regenerative brakinghighly automated drivingpressure controlredundant braking |
| spellingShingle | Liang Chu Yanwu Xu Di Zhao Cheng Chang Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving Vehicles World Electric Vehicle Journal regenerative braking highly automated driving pressure control redundant braking |
| title | Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving Vehicles |
| title_full | Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving Vehicles |
| title_fullStr | Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving Vehicles |
| title_full_unstemmed | Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving Vehicles |
| title_short | Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving Vehicles |
| title_sort | research on pressure control algorithm of regenerative braking system for highly automated driving vehicles |
| topic | regenerative braking highly automated driving pressure control redundant braking |
| url | https://www.mdpi.com/2032-6653/12/3/112 |
| work_keys_str_mv | AT liangchu researchonpressurecontrolalgorithmofregenerativebrakingsystemforhighlyautomateddrivingvehicles AT yanwuxu researchonpressurecontrolalgorithmofregenerativebrakingsystemforhighlyautomateddrivingvehicles AT dizhao researchonpressurecontrolalgorithmofregenerativebrakingsystemforhighlyautomateddrivingvehicles AT chengchang researchonpressurecontrolalgorithmofregenerativebrakingsystemforhighlyautomateddrivingvehicles |