A Review of the Application of Machine Learning in the Optimization of Electric Vehicle Powertrain Systems

Xinxu Li

doi:10.47297/taposatWSP2633-456925.20260708

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A Review of the Application of Machine Learning in the Optimization of Electric Vehicle Powertrain Systems

7卷第8期

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A Review of the Application of Machine Learning in the Optimization of Electric Vehicle Powertrain Systems
A Review of the Application of Machine Learning in the Optimization of Electric Vehicle Powertrain Systems
College of Intelligent Manufacturing, Guangdong Technology College,Zhaoqing, Guangdong, 526100, China
2026年7卷第8期页码：128-131
纸质出版：2026-08-30
DOI：10.47297/taposatWSP2633-456925.20260708
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Xinxu Li. (2026). A Review of the Application of Machine Learning in the Optimization of Electric Vehicle Powertrain Systems. 科技理论与实践（英文版）, 7(8), 128-131.

Li Xinxu.A Review of the Application of Machine Learning in the Optimization of Electric Vehicle Powertrain Systems[J].Theory and Practice of Science and Technology,2026,07(08):128-131.
Xinxu Li. (2026). A Review of the Application of Machine Learning in the Optimization of Electric Vehicle Powertrain Systems. 科技理论与实践（英文版）, 7(8), 128-131. DOI： 10.47297/taposatWSP2633-456925.20260708.

Li Xinxu.A Review of the Application of Machine Learning in the Optimization of Electric Vehicle Powertrain Systems[J].Theory and Practice of Science and Technology,2026,07(08):128-131. DOI： 10.47297/taposatWSP2633-456925.20260708.

摘要

Abstract

Optimization of electric vehicle powertrain systems is a key technical approach to enhancing overall vehicle performance. In recent years

machine learning has been widely applied in this field and has achieved certain results. However

through a review of literature and research in the past decade

this paper discovers a problem that has not been given sufficient attention. Most studies have a tendency of "emphasizing algorithms over ontology"

which makes many research results need to be carefully evaluated for their feasibility. Based on this

this paper puts forward the academic view that "ontology is the core and algorithm is the application" - the value of machine learning depends on its deep integration with physical properties. Finally

this paper offers some suggestions in the hope of providing a reference for the development of this field.

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Keywords

references

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Zhu Xuhui. Research on Matching and Optimization of Pure Electric Vehicle Power Systems [D]. Jiangsu University, 2023.

Niu Qinyu, Li Zhenxi, Wang Zhichao, et al. Parameter Matching and Optimization of Electric Vehicle Powertrain Systems [J]. Mechanical Transmission, 2019, 43(2):129-136.

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