Electronic differential system based on neural networks for electric vehicles: development, adaptation and prospects of application
- Authors: Lisov A.A.1, Vozmilov A.G.1
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Affiliations:
- South Ural State University
- Issue: Vol 11, No 1 (2025)
- Pages: 24-42
- Section: Original studies
- URL: https://journal-vniispk.ru/transj/article/view/289342
- DOI: https://doi.org/10.17816/transsyst659809
- ID: 289342
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Abstract
Aim. The analysis of possibilities and prospects of development of an electronic differential system for electric vehicles based on artificial neural networks.
Materials and Methods. We discuss the key advantages of the proposed system, such as its customization capability to various vehicle designs, integration of additional sensors, support for self-driving mode and the ability to interact with the ABS system.
Results. We considered the ways to improve the model, including the introduction of self-learning algorithms, optimization of inverter circuits for controlling multiple motors, and implementation of all-wheel drive configurations. In addition, we discuss the customization of the electronic differential system for operation on low-power devices using quantization, pruning and architecture simplification methods.
Conclusion. The proposed approaches and algorithms have the potential for widespread deployment in the electric vehicle industry, opening new vistas for development of intelligent vehicle control systems.
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##article.viewOnOriginalSite##About the authors
Andrey A. Lisov
South Ural State University
Author for correspondence.
Email: lisov.andrey2013@yandex.ru
ORCID iD: 0000-0001-7282-8470
SPIN-code: 1956-3662
postgraduate student
Russian Federation, ChelyabinskAlexander G. Vozmilov
South Ural State University
Email: vozmiag@rambler.ru
ORCID iD: 0000-0002-1292-3975
SPIN-code: 2893-8730
Professor, Doctor of Technical Sciences
Russian Federation, ChelyabinskReferences
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Supplementary files
Supplementary Files
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Fig. 1. Functional diagram of the ECM based on the NS
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Fig. 2. Improved implementation of the power section of the traction electric drive of a rear-wheel drive electric vehicle
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Fig. 3. Configuration of the inverter circuit with nine switch keys
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Fig. 4. Functional diagram of the electronic differential for a 4-motor electric vehicle model
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Fig. 5. Camera position for filming the vehicle’s trajectory
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Fig. 6. Illustration of deviation from the ideal trajectory for it’s automatic calculation
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Fig. 7. Functional diagram of the addition of an electronic differential system to ABS
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