Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation

Yong Wang, Hongguo Cai, Yinghua Liao, Jun Gao

DOI: 10.1155/2020/6057870
Published: 2020-07-25
Container: Complexity
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2020/6057870,
  title = {Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation},
  author = {Yong Wang and Hongguo Cai and Yinghua Liao and Jun Gao},
  year = {2020},
  journal = {Complexity},
  doi = {10.1155/2020/6057870},
  url = {https://doi.org/10.1155/2020/6057870}
}

RIS

TY  - JOUR
TI  - Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation
AU  - Yong Wang
AU  - Hongguo Cai
AU  - Yinghua Liao
AU  - Jun Gao
PY  - 2020
JO  - Complexity
DO  - 10.1155/2020/6057870
UR  - https://doi.org/10.1155/2020/6057870
ER  -

APA

Wang, Y., Cai, H., Liao, Y., & Gao, J. (2020). Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation. Complexity. https://doi.org/10.1155/2020/6057870

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crossref · retrieved 2026-09-25T00:13:22.803Z