IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p8219-d1150048.html
   My bibliography  Save this article

Study on Multi-Objective Optimization of Power System Parameters of Battery Electric Vehicles

Author

Listed:
  • Jie Hu

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
    Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Wentong Cao

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Feng Jiang

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
    Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Lingling Hu

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Qian Chen

    (Guangxi Automobile Tractor Research Institute, Liuzhou 545006, China)

  • Weiguang Zheng

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Junming Zhou

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China)

Abstract

The optimization of power parameters is the key to the design of pure electric vehicles. Reasonable matching of the relationship between various parameters can effectively reduce energy consumption and achieve energy sustainability. In this paper, several vehicle performance indexes such as maximum vehicle speed, acceleration time and power consumption per 100 km were used as optimization target vectors, and transmission ratio was used as optimization variable to establish the optimization problem of parameter matching. Then, the feasible domain of the transmission ratio was obtained by taking the lowest performance index of the vehicle as the constraint condition. In the feasible domain, the multi-objective genetic algorithm is used to solve the optimization problem. The Pareto optimal solution set is obtained for fixed ratio transmission and two-gear transmission, which is used as an alternative solution set. The final parameter-matching scheme is determined by comparing the alternative scheme set of different motors comprehensively. The results show that the competition relationship between multiple optimizable indexes can be described effectively by solving the Pareto front. Specifically, the Pareto optimal solution set for the motor A + fixed transmission scheme is 1.33~1.85; the Pareto optimal solution set for the motor A + 2 transmission scheme is [1.72, 0.98]~[2.99, 1.57], and the Pareto optimal solution set for the motor B + 2 transmission scheme is [2.99, 1.40]~[2.99, 1.57]. The motor A + fixed transmission scheme does not require A clutch and does not require designing a shift algorithm. Therefore, after comprehensive consideration, the motor A + fixed transmission ratio transmission scheme is set as the final scheme.

Suggested Citation

  • Jie Hu & Wentong Cao & Feng Jiang & Lingling Hu & Qian Chen & Weiguang Zheng & Junming Zhou, 2023. "Study on Multi-Objective Optimization of Power System Parameters of Battery Electric Vehicles," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8219-:d:1150048
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/8219/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/10/8219/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Uvais Mustafa & Rishad Ahmed & Alan Watson & Patrick Wheeler & Naseer Ahmed & Parmjeet Dahele, 2022. "A Comprehensive Review of Machine-Integrated Electric Vehicle Chargers," Energies, MDPI, vol. 16(1), pages 1-25, December.
    2. Ibrahim M. Allafi & Shanelle N. Foster, 2023. "Condition Monitoring Accuracy in Inverter-Driven Permanent Magnet Synchronous Machines Based on Motor Voltage Signature Analysis," Energies, MDPI, vol. 16(3), pages 1-21, February.
    3. Afaq Ahmad & Muhammad Khalid & Zahid Ullah & Naveed Ahmad & Mohammad Aljaidi & Faheem Ahmed Malik & Umar Manzoor, 2022. "Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging," Energies, MDPI, vol. 15(24), pages 1-32, December.
    4. Li, Zhenhe & Khajepour, Amir & Song, Jinchun, 2019. "A comprehensive review of the key technologies for pure electric vehicles," Energy, Elsevier, vol. 182(C), pages 824-839.
    5. Zhang, Zhiqing & Dong, Rui & Tan, Dongli & Duan, Lin & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Hu, Jingyi & Zhang, Jian & Zhong, Weihuang & Zhao, Ziheng, 2023. "Effect of structural parameters on diesel particulate filter trapping performance of heavy-duty diesel engines based on grey correlation analysis," Energy, Elsevier, vol. 271(C).
    6. Gandoman, Foad H. & Ahmadi, Abdollah & Bossche, Peter Van den & Van Mierlo, Joeri & Omar, Noshin & Nezhad, Ali Esmaeel & Mavalizadeh, Hani & Mayet, Clément, 2019. "Status and future perspectives of reliability assessment for electric vehicles," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 1-16.
    7. Xu, Liangfei & Ouyang, Minggao & Li, Jianqiu & Yang, Fuyuan & Lu, Languang & Hua, Jianfeng, 2013. "Optimal sizing of plug-in fuel cell electric vehicles using models of vehicle performance and system cost," Applied Energy, Elsevier, vol. 103(C), pages 477-487.
    8. Zhang, Zhiqing & Li, Jiangtao & Tian, Jie & Dong, Rui & Zou, Zhi & Gao, Sheng & Tan, Dongli, 2022. "Performance, combustion and emission characteristics investigations on a diesel engine fueled with diesel/ ethanol /n-butanol blends," Energy, Elsevier, vol. 249(C).
    9. Tan, Dongli & Meng, Yujun & Tian, Jie & Zhang, Chengtao & Zhang, Zhiqing & Yang, Guanhua & Cui, Shuwan & Hu, Jingyi & Zhao, Ziheng, 2023. "Utilization of renewable and sustainable diesel/methanol/n-butanol (DMB) blends for reducing the engine emissions in a diesel engine with different pre-injection strategies," Energy, Elsevier, vol. 269(C).
    10. Maheshwari, A. & Nageswari, S., 2022. "Real-time state of charge estimation for electric vehicle power batteries using optimized filter," Energy, Elsevier, vol. 254(PB).
    11. Tiande Mo & Yu Li & Kin-tak Lau & Chi Kin Poon & Yinghong Wu & Yang Luo, 2022. "Trends and Emerging Technologies for the Development of Electric Vehicles," Energies, MDPI, vol. 15(17), pages 1-34, August.
    12. Huiyuan Xiong & Xionglai Zhu & Ronghui Zhang, 2018. "Energy Recovery Strategy Numerical Simulation for Dual Axle Drive Pure Electric Vehicle Based on Motor Loss Model and Big Data Calculation," Complexity, Hindawi, vol. 2018, pages 1-14, August.
    13. Hicham El Hadraoui & Mourad Zegrari & Fatima-Ezzahra Hammouch & Nasr Guennouni & Oussama Laayati & Ahmed Chebak, 2022. "Design of a Customizable Test Bench of an Electric Vehicle Powertrain for Learning Purposes Using Model-Based System Engineering," Sustainability, MDPI, vol. 14(17), pages 1-22, September.
    14. Tan, Dongli & Wu, Yao & Lv, Junshuai & Li, Jian & Ou, Xiaoyu & Meng, Yujun & Lan, Guanglin & Chen, Yanhui & Zhang, Zhiqing, 2023. "Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology," Energy, Elsevier, vol. 263(PC).
    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. Dongli Tan & Yao Wu & Zhiqing Zhang & Yue Jiao & Lingchao Zeng & Yujun Meng, 2023. "Assessing the Life Cycle Sustainability of Solar Energy Production Systems: A Toolkit Review in the Context of Ensuring Environmental Performance Improvements," Sustainability, MDPI, vol. 15(15), pages 1-37, July.
    2. Zhang, Zhiqing & Dong, Rui & Tan, Dongli & Duan, Lin & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Hu, Jingyi & Zhang, Jian & Zhong, Weihuang & Zhao, Ziheng, 2023. "Effect of structural parameters on diesel particulate filter trapping performance of heavy-duty diesel engines based on grey correlation analysis," Energy, Elsevier, vol. 271(C).
    3. Zhang, Zhiqing & Zhong, Weihuang & Mao, Chengfang & Xu, Yuejiang & Lu, Kai & Ye, Yanshuai & Guan, Wei & Pan, Mingzhang & Tan, Dongli, 2024. "Multi-objective optimization of Fe-based SCR catalyst on the NOx conversion efficiency for a diesel engine based on FGRA-ANN/RF," Energy, Elsevier, vol. 294(C).
    4. Zhang, Zhiqing & Liu, Hui & Yang, Dayong & Li, Junming & Lu, Kai & Ye, Yanshuai & Tan, Dongli, 2024. "Performance enhancements of power density and exergy efficiency for high-temperature proton exchange membrane fuel cell based on RSM-NSGA III," Energy, Elsevier, vol. 301(C).
    5. Yetik, Ozge & Engün, Semih & Kok, Baris & Karakoc, Tahir Hikmet, 2024. "Thermal management system of batteries using AlN reinforced TPMS-PCM composite material," Energy, Elsevier, vol. 313(C).
    6. Zhang, Zhiqing & Hu, Jingyi & Yang, Dayong & Yin, Zibin & Lu, Kai & Tan, Dongli, 2024. "A comprehensive assessment over the environmental impact and combustion efficiency of using ammonia/ hydrogen/diesel blends in a diesel engine," Energy, Elsevier, vol. 303(C).
    7. Zhang, Zhiqing & Hu, Jingyi & Tan, Dongli & Li, Junming & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Ye, Yanshuai & Zhao, Ziheng & Yang, Guanhua, 2023. "Multi-objective optimization of the three-way catalytic converter on the combustion and emission characteristics for a gasoline engine," Energy, Elsevier, vol. 277(C).
    8. Biao Li & Pengfei Wang & Peng Sun & Rui Meng & Jun Zeng & Guanghui Liu, 2023. "A Model for Determining the Optimal Decommissioning Interval of Energy Equipment Based on the Whole Life Cycle Cost," Sustainability, MDPI, vol. 15(6), pages 1-28, March.
    9. Tan, Dongli & Meng, Yujun & Tian, Jie & Zhang, Chengtao & Zhang, Zhiqing & Yang, Guanhua & Cui, Shuwan & Hu, Jingyi & Zhao, Ziheng, 2023. "Utilization of renewable and sustainable diesel/methanol/n-butanol (DMB) blends for reducing the engine emissions in a diesel engine with different pre-injection strategies," Energy, Elsevier, vol. 269(C).
    10. Gao, Sheng & Zhang, Yanhui & Zhang, Zhiqing & Tan, Dongli & Li, Junming & Yin, Zibin & Hu, Jingyi & Zhao, Ziheng, 2023. "Multi-objective optimization of the combustion chamber geometry for a highland diesel engine fueled with diesel/n-butanol/PODEn by ANN-NSGA III," Energy, Elsevier, vol. 282(C).
    11. Enyong Xu & Mengcheng Ma & Weiguang Zheng & Qibai Huang, 2023. "An Energy Management Strategy for Fuel-Cell Hybrid Commercial Vehicles Based on Adaptive Model Prediction," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    12. Jia, Guohai & Gao, Sheng & Shu, Xiong & Ren, Bing & Zhang, Bin & Ma, Guangyu & Zhang, Jian & Liu, Hui & Li, Dongmei, 2024. "Multi-objective optimization of emission parameters of a diesel engine using oxygenated fuel and pilot injection strategy based on RSM-NSGA III," Energy, Elsevier, vol. 293(C).
    13. Guan, Wei & Gu, Jinkai & Pan, Xiubin & Pan, Mingzhang & Wang, Xinyan & Zhao, Hua & Tan, Dongli & Fu, Changcheng & Pedrozo, Vinícius B. & Zhang, Zhiqing, 2024. "Improvement of the light-load combustion control strategy for a heavy-duty diesel engine fueled with diesel/methonal by RSM-NSGA III," Energy, Elsevier, vol. 297(C).
    14. Chen, Yanhui & Zhang, Jian & Zhang, Zhiqing & Zhang, Bin & Hu, Jingyi & Zhong, Weihuang & Ye, Yanshuai, 2024. "Effect of ammonia energy ratio and load on combustion and emissions of an ammonia/diesel dual-fuel engine," Energy, Elsevier, vol. 302(C).
    15. Tang, Shihao & Wei, Jia & Xie, Bo & Shi, Zhiwei & Wang, Hao & Tian, Xinghua & He, Biao & Peng, Qingguo, 2023. "Experimental and numerical investigation on H2-fueled thermophotovoltaic micro tube with multi-cavity," Energy, Elsevier, vol. 274(C).
    16. Zhuang Kang & Zhiwei Shi & Jiahao Ye & Xinghua Tian & Zhixin Huang & Hao Wang & Depeng Wei & Qingguo Peng & Yaojie Tu, 2023. "A Review of Micro Power System and Micro Combustion: Present Situation, Techniques and Prospects," Energies, MDPI, vol. 16(7), pages 1-28, April.
    17. Ma, Wenyao & Gao, Sheng & Liu, Hui & Li, Dongmei, 2024. "The improvements of a diesel engine fueled with renewable and sustainable diesel/n-butanol/polyoxymethylene dimethyl ethers blended fuels at high altitudes," Energy, Elsevier, vol. 289(C).
    18. Zhang, Zhiqing & Wang, Su & Pan, Mingzhang & Lv, Junshuai & Lu, Kai & Ye, Yanshuai & Tan, Dongli, 2024. "Utilization of hydrogen-diesel blends for the improvements of a dual-fuel engine based on the improved Taguchi methodology," Energy, Elsevier, vol. 292(C).
    19. Tan, Dongli & Dong, Rui & Zhang, Zhiqing & Zhang, Bin & Jiang, Feng & Ye, Yanshuai & Li, Dongmei & Liu, Hui, 2024. "Multi-objective impact mechanism on the performance characteristic for a diesel particulate filter by RF-NSGA III-TOPSIS during soot loading," Energy, Elsevier, vol. 286(C).
    20. Xueyi Li & Tianyu Yu & Daiyou Li & Xiangkai Wang & Cheng Shi & Zhijie Xie & Xiangwei Kong, 2023. "A Migration Learning Method Based on Adaptive Batch Normalization Improved Rotating Machinery Fault Diagnosis," Sustainability, MDPI, vol. 15(10), pages 1-15, May.

    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:gam:jsusta:v:15:y:2023:i:10:p:8219-:d:1150048. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.