Powertrain structure analysis of extended range electric vehicles

Research Article
Open access

Powertrain structure analysis of extended range electric vehicles

Yufeng Meng 1*
  • 1 Shandong University of Technology    
  • *corresponding author yusdut131@student.wust.edu.pl
Published on 20 December 2023 | https://doi.org/10.54254/2755-2721/28/20230025
ACE Vol.28
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-231-2
ISBN (Online): 978-1-83558-232-9

Abstract

Since its invention, the internal combustion engine has greatly contributed to the development of human civilization and is also an important symbol of the progress of human civilization. The energy and environmental problems brought by traditional automobiles have seriously restricted the development of today's automotive industry. Due to the bottleneck of pure electric vehicle power battery technology, its short range and short battery life, the extended range electric vehicle is a smooth transition model of the pure electric vehicle, with its high efficiency, small battery capacity, long driving range and other advantages have received widespread attention. In this paper, the key technical issues, including the component selection, parameter matching, and control strategy of the extended-range electric vehicle drive system, are analyzed and discussed in detail. Several issues worthy of attention in future research are pointed out in the paper and provide insights for further development of extended-range electric vehicles.

Keywords:

range extended electric vehicles, powertrain architecture, control strategy

Meng,Y. (2023). Powertrain structure analysis of extended range electric vehicles. Applied and Computational Engineering,28,7-15.
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References

[1]. Yao X S. 2020. Energy consumption analysis of power system of an incremental electric vehicle. World of Electronic Products, 27(03):82-84.

[2]. Zhang B, Zhao J B. 2016. Summary of Research on Key Technologies of Programmed Electric Vehicle Drive System. Journal of Jiangsu Institute of Technology, 22(02),31-36

[3]. Pu W H, Liu J L. 2012. Simulation Research on Weak Field Control of Permanent Magnet Synchronous Motor for Extended Program Electric Vehicle. Micromotor, 03(03)30-31.

[4]. Zhang S K. 2019. Research on Parameter Matching and Energy Management Strategy of Programmed Vehicle Based on Small Engine. Qinghuangdao. Yanshan University

[5]. Lou Y T, Jiang C N, Liang W Q, Ling X W. 2014. A new enhanced electric vehicle drive system Hua. Journal of South China University of Technology. 42(09).107-113

[6]. Wang Y M. 2021 Parameter matching and performance simulation of power system of SUV extended electric vehicle. Jilin. Jilin University

[7]. Liu H W, Lei Y L, Fu X, Li X Z. 2021. Adaptive Brake Feedback Control Strategy for EPV Based on Multi-objective Optimization. Journal of South China University of Technology, 49(07).42-45

[8]. Lv Q Y, Teng T, Zhang B D, Zhang X, Xue Q C. 2021. Optimized control strategy for economy and durability of extended fuel cell vehicles. Journal of Harbin University of Technology. 53(07).126-133

[9]. Global automotive production will reach US$2033 billion in 2017. Intelligent Research Consulting. Industrial Information Network (chyxx.com)

[10]. Yin A D, Dong X Y, Zhang B Z, Jiang H. 2015. Multi-objective optimization of control parameters for EPV based on Isight. Journal of Hefei University of Technology. 38(03).289-294

[11]. Zeng P Y. 2019. Research on energy management strategy of incremental electric vehicle. Chongqing. Chongqing University of Technology

Cite this article

Meng,Y. (2023). Powertrain structure analysis of extended range electric vehicles. Applied and Computational Engineering,28,7-15.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Mechatronics and Smart Systems

ISBN：978-1-83558-231-2(Print) / 978-1-83558-232-9(Online)
Editor：Seyed Ghaffar, Alan Wang
Conference website: https://2023.confmss.org/
Conference date: 24 June 2023
Series: Applied and Computational Engineering
Volume number: Vol.28
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Yao X S. 2020. Energy consumption analysis of power system of an incremental electric vehicle. World of Electronic Products, 27(03):82-84.

[2]. Zhang B, Zhao J B. 2016. Summary of Research on Key Technologies of Programmed Electric Vehicle Drive System. Journal of Jiangsu Institute of Technology, 22(02),31-36

[3]. Pu W H, Liu J L. 2012. Simulation Research on Weak Field Control of Permanent Magnet Synchronous Motor for Extended Program Electric Vehicle. Micromotor, 03(03)30-31.

[4]. Zhang S K. 2019. Research on Parameter Matching and Energy Management Strategy of Programmed Vehicle Based on Small Engine. Qinghuangdao. Yanshan University

[5]. Lou Y T, Jiang C N, Liang W Q, Ling X W. 2014. A new enhanced electric vehicle drive system Hua. Journal of South China University of Technology. 42(09).107-113

[6]. Wang Y M. 2021 Parameter matching and performance simulation of power system of SUV extended electric vehicle. Jilin. Jilin University

[7]. Liu H W, Lei Y L, Fu X, Li X Z. 2021. Adaptive Brake Feedback Control Strategy for EPV Based on Multi-objective Optimization. Journal of South China University of Technology, 49(07).42-45

[8]. Lv Q Y, Teng T, Zhang B D, Zhang X, Xue Q C. 2021. Optimized control strategy for economy and durability of extended fuel cell vehicles. Journal of Harbin University of Technology. 53(07).126-133

[9]. Global automotive production will reach US$2033 billion in 2017. Intelligent Research Consulting. Industrial Information Network (chyxx.com)

[10]. Yin A D, Dong X Y, Zhang B Z, Jiang H. 2015. Multi-objective optimization of control parameters for EPV based on Isight. Journal of Hefei University of Technology. 38(03).289-294

[11]. Zeng P Y. 2019. Research on energy management strategy of incremental electric vehicle. Chongqing. Chongqing University of Technology

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