Optimization of Regenerative Braking Control Strategy in Single-Pedal Mode Based on Electro-Mechanical Braking
To enhance the braking stability of electric vehicles and maximize braking energy recovery, this paper proposes a regenerative braking force distribution strategy based on Electro-Mechanical Braking (EMB) in a single-pedal mode. The braking intention during single-pedal operation is identified using...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10731687/ |
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| _version_ | 1841542596737892352 |
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| author | Xiaobin Ning Zhenghao Wang Yong Lin Yuming Yin Jiazheng Wang Yihao Hong |
| author_facet | Xiaobin Ning Zhenghao Wang Yong Lin Yuming Yin Jiazheng Wang Yihao Hong |
| author_sort | Xiaobin Ning |
| collection | DOAJ |
| description | To enhance the braking stability of electric vehicles and maximize braking energy recovery, this paper proposes a regenerative braking force distribution strategy based on Electro-Mechanical Braking (EMB) in a single-pedal mode. The braking intention during single-pedal operation is identified using an Adaptive Neuro-Fuzzy Inference System (ANFIS), with the effectiveness of this method validated through data collection and analysis on a six-degree-of-freedom test rig, showing significant improvement in intention recognition accuracy. An innovative distribution method for front and rear axle braking forces is developed, and a fuzzy controller is designed with battery State of Charge (SOC), vehicle velocity (v), braking intensity (z), and braking intention (I) as inputs, and the regenerative braking ratio coefficient (k) as the output. The controller is optimized using the Sparrow Search Algorithm (SSA), further enhancing braking energy recovery efficiency. Co-simulation with Simulink and AVL Cruise software demonstrates the strategy’s effectiveness. Results indicate that under the Worldwide Harmonized Light Vehicles Test Cycle (WLTC) and China Light-Duty Vehicle Test Cycle (CLTC) conditions, the braking energy recovery efficiency of the proposed strategy reaches 21.54% and 25.39%, respectively. These findings confirm that the EMB-based single-pedal regenerative braking force distribution strategy significantly improves both braking stability and energy recovery efficiency in electric vehicles, offering valuable insights for future braking strategy development. |
| format | Article |
| id | doaj-art-efcd7cf563f34778920dcbb5ede0b690 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-efcd7cf563f34778920dcbb5ede0b6902025-01-14T00:02:04ZengIEEEIEEE Access2169-35362024-01-011217099417101410.1109/ACCESS.2024.348519810731687Optimization of Regenerative Braking Control Strategy in Single-Pedal Mode Based on Electro-Mechanical BrakingXiaobin Ning0https://orcid.org/0000-0002-7166-1645Zhenghao Wang1https://orcid.org/0009-0008-2656-5399Yong Lin2https://orcid.org/0009-0009-6913-9987Yuming Yin3https://orcid.org/0000-0002-2854-921XJiazheng Wang4https://orcid.org/0009-0009-5416-1102Yihao Hong5College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, ChinaSchool of Mechanical Engineering, Zhijiang College of Zhejiang University of Technology, Shaoxing, Zhejiang, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, ChinaTo enhance the braking stability of electric vehicles and maximize braking energy recovery, this paper proposes a regenerative braking force distribution strategy based on Electro-Mechanical Braking (EMB) in a single-pedal mode. The braking intention during single-pedal operation is identified using an Adaptive Neuro-Fuzzy Inference System (ANFIS), with the effectiveness of this method validated through data collection and analysis on a six-degree-of-freedom test rig, showing significant improvement in intention recognition accuracy. An innovative distribution method for front and rear axle braking forces is developed, and a fuzzy controller is designed with battery State of Charge (SOC), vehicle velocity (v), braking intensity (z), and braking intention (I) as inputs, and the regenerative braking ratio coefficient (k) as the output. The controller is optimized using the Sparrow Search Algorithm (SSA), further enhancing braking energy recovery efficiency. Co-simulation with Simulink and AVL Cruise software demonstrates the strategy’s effectiveness. Results indicate that under the Worldwide Harmonized Light Vehicles Test Cycle (WLTC) and China Light-Duty Vehicle Test Cycle (CLTC) conditions, the braking energy recovery efficiency of the proposed strategy reaches 21.54% and 25.39%, respectively. These findings confirm that the EMB-based single-pedal regenerative braking force distribution strategy significantly improves both braking stability and energy recovery efficiency in electric vehicles, offering valuable insights for future braking strategy development.https://ieeexplore.ieee.org/document/10731687/Electric vehiclesingle-pedal moderegenerative brakingelectro-mechanical braking (EMB)braking intention |
| spellingShingle | Xiaobin Ning Zhenghao Wang Yong Lin Yuming Yin Jiazheng Wang Yihao Hong Optimization of Regenerative Braking Control Strategy in Single-Pedal Mode Based on Electro-Mechanical Braking IEEE Access Electric vehicle single-pedal mode regenerative braking electro-mechanical braking (EMB) braking intention |
| title | Optimization of Regenerative Braking Control Strategy in Single-Pedal Mode Based on Electro-Mechanical Braking |
| title_full | Optimization of Regenerative Braking Control Strategy in Single-Pedal Mode Based on Electro-Mechanical Braking |
| title_fullStr | Optimization of Regenerative Braking Control Strategy in Single-Pedal Mode Based on Electro-Mechanical Braking |
| title_full_unstemmed | Optimization of Regenerative Braking Control Strategy in Single-Pedal Mode Based on Electro-Mechanical Braking |
| title_short | Optimization of Regenerative Braking Control Strategy in Single-Pedal Mode Based on Electro-Mechanical Braking |
| title_sort | optimization of regenerative braking control strategy in single pedal mode based on electro mechanical braking |
| topic | Electric vehicle single-pedal mode regenerative braking electro-mechanical braking (EMB) braking intention |
| url | https://ieeexplore.ieee.org/document/10731687/ |
| work_keys_str_mv | AT xiaobinning optimizationofregenerativebrakingcontrolstrategyinsinglepedalmodebasedonelectromechanicalbraking AT zhenghaowang optimizationofregenerativebrakingcontrolstrategyinsinglepedalmodebasedonelectromechanicalbraking AT yonglin optimizationofregenerativebrakingcontrolstrategyinsinglepedalmodebasedonelectromechanicalbraking AT yumingyin optimizationofregenerativebrakingcontrolstrategyinsinglepedalmodebasedonelectromechanicalbraking AT jiazhengwang optimizationofregenerativebrakingcontrolstrategyinsinglepedalmodebasedonelectromechanicalbraking AT yihaohong optimizationofregenerativebrakingcontrolstrategyinsinglepedalmodebasedonelectromechanicalbraking |