IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v289y2024ics0360544223032723.html
   My bibliography  Save this article

Low energy consumption traction control for centralized and distributed dual-mode coupling drive electric vehicle on split ramps

Author

Listed:
  • Lipeng, Zhang
  • Xin, Liu
  • Shuaishuai, Liu
  • Haoran, Guo
  • Kaixin, Shi

Abstract

Distributed drive electric vehicle has good pass ability on split ramps, but it has high power demand for driving motors, resulting in low driving efficiency and limited economy. To address the aforementioned deficiencies, a centralized and distributed dual-mode coupling drive system (DMC) capable of drive force transfer between coaxial wheels is designed to avoid single-side wheel high-intensity driving and reduce vehicle energy consumption. To guarantee the longitudinal dynamics performance, a traction control based on online sliding mode extremum search (SES) was proposed, and the traction control based on the ρ_SES algorithm as a means to suppress the controller damage caused by the steady-state oscillation has also been adopted. The simulation and experiment results show that the dual-mode coupling drive electric vehicle significantly reduces the energy consumption and reduces the power demands of the drive motor than those of the distributed drive electric vehicle. Apparently, the ρ_SES algorithm based traction control suppresses the steady-state oscillations of the SES, which can protect the motor controller. This study lays the theoretical foundation for the use of DMC and achieving superior traction control for electric vehicles.

Suggested Citation

  • Lipeng, Zhang & Xin, Liu & Shuaishuai, Liu & Haoran, Guo & Kaixin, Shi, 2024. "Low energy consumption traction control for centralized and distributed dual-mode coupling drive electric vehicle on split ramps," Energy, Elsevier, vol. 289(C).
  • Handle: RePEc:eee:energy:v:289:y:2024:i:c:s0360544223032723
    DOI: 10.1016/j.energy.2023.129878
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223032723
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.129878?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Deng, Huifan & Zhao, Youqun & Feng, Shilin & Wang, Qiuwei & Zhang, Chenxi & Lin, Fen, 2021. "Torque vectoring algorithm based on mechanical elastic electric wheels with consideration of the stability and economy," Energy, Elsevier, vol. 219(C).
    2. Tang, Qingsong & Yang, Yang & Luo, Chang & Yang, Zhong & Fu, Chunyun, 2022. "A novel electro-hydraulic compound braking system coordinated control strategy for a four-wheel-drive pure electric vehicle driven by dual motors," Energy, Elsevier, vol. 241(C).
    3. Zhang, Sheng-li & Wen, Chang-kai & Ren, Wen & Luo, Zhen-hao & Xie, Bin & Zhu, Zhong-xiang & Chen, Zhong-ju, 2023. "A joint control method considering travel speed and slip for reducing energy consumption of rear wheel independent drive electric tractor in ploughing," Energy, Elsevier, vol. 263(PD).
    4. Wen, Chang-kai & Zhang, Sheng-li & Xie, Bin & Song, Zheng-he & Li, Tong-hui & Jia, Fang & Han, Jian-gang, 2022. "Design and verification innovative approach of dual-motor power coupling drive systems for electric tractors," Energy, Elsevier, vol. 247(C).
    5. Guo, Lingxiong & Liu, Hui & Han, Lijin & Yang, Ningkang & Liu, Rui & Xiang, Changle, 2023. "Predictive energy management strategy of dual-mode hybrid electric vehicles combining dynamic coordination control and simultaneous power distribution," Energy, Elsevier, vol. 263(PA).
    6. He, Qiang & Yang, Yang & Luo, Chang & Zhai, Jun & Luo, Ronghua & Fu, Chunyun, 2022. "Energy recovery strategy optimization of dual-motor drive electric vehicle based on braking safety and efficient recovery," Energy, Elsevier, vol. 248(C).
    7. Zhang, Junjiang & Yang, Yang & Hu, Minghui & Yang, Zhong & Fu, Chunyun, 2021. "Longitudinal–vertical comprehensive control for four-wheel drive pure electric vehicle considering energy recovery and ride comfort," Energy, Elsevier, vol. 236(C).
    8. Zhang, LiPeng & Liu, Wei & Qi, BingNan, 2020. "Energy optimization of multi-mode coupling drive plug-in hybrid electric vehicles based on speed prediction," Energy, Elsevier, vol. 206(C).
    9. Desreveaux, A. & Bouscayrol, A. & Trigui, R. & Hittinger, E. & Castex, E. & Sirbu, G.M., 2023. "Accurate energy consumption for comparison of climate change impact of thermal and electric vehicles," Energy, Elsevier, vol. 268(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Shuai & Wu, Xiuheng & Zhao, Xueyan & Wang, Shilong & Xie, Bin & Song, Zhenghe & Wang, Dongqing, 2023. "Co-optimization energy management strategy for a novel dual-motor drive system of electric tractor considering efficiency and stability," Energy, Elsevier, vol. 281(C).
    2. Sun, Xilei & Fu, Jianqin, 2024. "Many-objective optimization of BEV design parameters based on gradient boosting decision tree models and the NSGA-III algorithm considering the ambient temperature," Energy, Elsevier, vol. 288(C).
    3. Li, Shicheng & Xu, Lin & Du, Xiaofang & Wang, Nian & Lin, Feng & Abdelkareem, Mohamed A.A., 2023. "Combined single-pedal and low adhesion control systems for enhanced energy regeneration in electric vehicles: Modeling, simulation, and on-field test," Energy, Elsevier, vol. 269(C).
    4. Zhang, Junjiang & Feng, Ganghui & Yan, Xianghai & He, Yundong & Liu, Mengnan & Xu, Liyou, 2024. "Cooperative control method considering efficiency and tracking performance for unmanned hybrid tractor based on rotary tillage prediction," Energy, Elsevier, vol. 288(C).
    5. Vu, Ngoc-Lam & Messier, Pascal & Nguyễn, Bảo-Huy & Vo-Duy, Thanh & Trovão, João Pedro F. & Desrochers, Alain & Rodrigues, António, 2023. "Energy-optimization design and management strategy for hybrid electric non-road mobile machinery: A case study of snowblower," Energy, Elsevier, vol. 284(C).
    6. Xiaoping Li & Junming Zhou & Wei Guan & Feng Jiang & Guangming Xie & Chunfeng Wang & Weiguang Zheng & Zhijie Fang, 2023. "Optimization of Brake Feedback Efficiency for Small Pure Electric Vehicles Based on Multiple Constraints," Energies, MDPI, vol. 16(18), pages 1-20, September.
    7. Miranda, Matheus H.R. & Silva, Fabrício L. & Lourenço, Maria A.M. & Eckert, Jony J. & Silva, Ludmila C.A., 2022. "Vehicle drivetrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle," Energy, Elsevier, vol. 257(C).
    8. Guwen Tang & Meng Zhang & Fei Bu, 2023. "Vehicle Environmental Efficiency Evaluation in Different Regions in China: A Combination of the Life Cycle Analysis (LCA) and Two-Stage Data Envelopment Analysis (DEA) Methods," Sustainability, MDPI, vol. 15(15), pages 1-24, August.
    9. Zhenhao Luo & Jihang Wang & Jing Wu & Shengli Zhang & Zhongju Chen & Bin Xie, 2023. "Research on a Hydraulic Cylinder Pressure Control Method for Efficient Traction Operation in Electro-Hydraulic Hitch System of Electric Tractors," Agriculture, MDPI, vol. 13(8), pages 1-18, August.
    10. Wang, Shaohua & Zhang, Kaimei & Shi, Dehua & Li, Meng & Yin, Chunfang, 2024. "Research on economical shifting strategy for multi-gear and multi-mode parallel plug-in HEV based on DIRECT algorithm," Energy, Elsevier, vol. 286(C).
    11. Azer Dilanchiev & Bobur Urinov & Sugra Humbatova & Gunay Panahova, 2024. "Catalyzing climate change mitigation: investigating the influence of renewable energy investments across BRICS," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-32, June.
    12. Ma, Bin & Guo, Xing & Li, Penghui, 2023. "Adaptive energy management strategy based on a model predictive control with real-time tuning weight for hybrid energy storage system," Energy, Elsevier, vol. 283(C).
    13. Francesco Mocera & Aurelio Somà & Salvatore Martelli & Valerio Martini, 2023. "Trends and Future Perspective of Electrification in Agricultural Tractor-Implement Applications," Energies, MDPI, vol. 16(18), pages 1-36, September.
    14. Lin, Xinyou & Wu, Jiayun & Wei, Yimin, 2021. "An ensemble learning velocity prediction-based energy management strategy for a plug-in hybrid electric vehicle considering driving pattern adaptive reference SOC," Energy, Elsevier, vol. 234(C).
    15. Zhou, Yang & Chen, Bo & Xu, Xianfeng & Zhang, Zhen & Ravey, Alexandre & Péra, Marie-Cécile & Ma, Ruiqing, 2024. "Data-driven cost-optimal energy management of postal-delivery fuel cell electric vehicle with intelligent dual-loop battery state-of-charge planner," Energy, Elsevier, vol. 290(C).
    16. Lee, Gwangryeol & Song, Jingeun & Han, Jungwon & Lim, Yunsung & Park, Suhan, 2023. "Study on energy consumption characteristics of passenger electric vehicle according to the regenerative braking stages during real-world driving conditions," Energy, Elsevier, vol. 283(C).
    17. Chen, Guanpeng & Jiang, Yue & Tang, Yuanjiang & Xu, Xiaojun, 2023. "Pitch stability control of variable wheelbase 6WID unmanned ground vehicle considering tire slip energy loss and energy-saving suspension control," Energy, Elsevier, vol. 264(C).
    18. Yao Yu & Shuaihua Hao & Songbao Guo & Zhong Tang & Shuren Chen, 2022. "Motor Torque Distribution Strategy for Different Tillage Modes of Agricultural Electric Tractors," Agriculture, MDPI, vol. 12(9), pages 1-22, September.
    19. Wei, Hongqian & Zhang, Nan & Liang, Jun & Ai, Qiang & Zhao, Wenqiang & Huang, Tianyi & Zhang, Youtong, 2022. "Deep reinforcement learning based direct torque control strategy for distributed drive electric vehicles considering active safety and energy saving performance," Energy, Elsevier, vol. 238(PB).
    20. Zhengkai Wu & Jiazhong Wang & Yazhou Xing & Shanshan Li & Jinggang Yi & Chunming Zhao, 2023. "Energy Management of Sowing Unit for Extended-Range Electric Tractor Based on Improved CD-CS Fuzzy Rules," Agriculture, MDPI, vol. 13(7), pages 1-18, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:289:y:2024:i:c:s0360544223032723. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.