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Design method of electric vehicles based on the concept of sustainable development

Bingyan Xu

Abstract


With the improvement of global environmental awareness and the intensification of the energy crisis, electric vehicles, as an important choice for green travel, have gradually become a trend in the development of modern transportation. This paper aims to explore the
design method of electric vehicles based on the concept of sustainable development, focusing on the key principles of energy saving and
environmental protection, resource utilization and circular economy, user safety and comfort in the design process. The study also involves
aspects such as material and technological innovation, life cycle assessment and environmental impact analysis, and proposes a set of systematic design frameworks to provide theoretical support and practical guidance for the innovative design of electric vehicles. Through a
comprehensive analysis of electric vehicles, this paper provides valuable references for the industry and promotes the development of electric
vehicles in a more efficient, environmentally friendly and sustainable direction. Finally, the study emphasizes the importance of green design
concepts to the design of future electric vehicles, and looks forward to the potential of intelligence and technological innovation in promoting
the construction of sustainable transportation systems.

Keywords


Electric Vehicles; Sustainable Development; Green Design; Energy Saving and Environmental Protection; Resource Utilization

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References


[1]Saeedi, M., Parhazeh, S., Tavakkoli-Moghaddam, R., & Khalili-Fard, A. (2024). Designing a two-stage model for a sustainable

closed-loop electric vehicle battery supply chain network: A scenario-based stochastic programming approach. Computers & Industrial Engineering, 190, 110036.

[2]Rauf, M., Kumar, L., Zulkifli, S. A., & Jamil, A. (2024). Aspects of artificial intelligence in future electric vehicle technology for

sustainable environmental impact. Environmental Challenges, 14, 100854.

[3]Zhao, T., Chen, G., Gatewongsa, T., & Busababodhin, P. (2025). Forecasting Agricultural Trade Based on TCN-LightGBM Models:

A Data-Driven Decision. Research on World Agricultural Economy, 207-221.

[4]Zhang, X., Zhang, Z., Liu, Y., Xu, Z., & Qu, X. (2024). A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation. Renewable Energy, 234, 121243.

[5]Barakat, S., Osman, A. I., Tag-Eldin, E., Telba, A. A., Mageed, H. M. A., & Samy, M. M. (2024). Achieving green mobility: Multi-objective optimization for sustainable electric vehicle charging. Energy Strategy Reviews, 53, 101351.




DOI: https://doi.org/10.18686/utc.v10i4.252

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