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Article

Investigation and Analysis of the Contribution of Chinese Electric Vehicle Social Organizations’ Standardization Innovation to Intelligent Optimization Research and Development Investment

1
Institute of Standardization Theory and Strategy, China National Institute of Standardization, Beijing 100191, China
2
School of Electric Power, Shenyang Institute of Engineering, Shenyang 110136, China
3
School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
4
Automobile Academy, Beijing Vocational College of Transportation, Beijing 102618, China
5
School of Law, North China Electric Power University, Beijing 102206, China
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2024, 15(10), 442; https://doi.org/10.3390/wevj15100442
Submission received: 8 August 2024 / Revised: 18 September 2024 / Accepted: 24 September 2024 / Published: 28 September 2024

Abstract

Intelligent design has been the direction pursued by international electric vehicle (EV) research and development (R&D) teams in recent years. This paper analyzes the problems of unsustainable development in the current product design of EVs in China, such as high R&D investment, high innovation risks, and low R&D input–output ratios. It explores the issues related to intelligent design, R&D investment, car prices, and safety in the field of EVs in China, and it proposes the concept of optimizing intelligence to optimize the design investment of EVs in China. On the basis of the development situation and the existing problems of social organization standards that gather innovative technologies for EVs, this paper used data from the national social organization standard information platform as the research object and analyzed important data, such as the quantity of the information of relevant social organizations and professional fields of social organization standards, through mathematical methods. The article proposes an optimization design scheme for EV products in China, combining intelligence and practicality from the perspective of the optimizing intelligent design, and it models the construction of EV optimization design. The quantitative relationship between the two schemes before and after optimization design is compared in terms of cost savings in intelligent design, the improvement of social benefits, and the enhancement of EV cost performance. The comparative study found that intelligent optimization design reduced the R&D cost of EVs by 45.24%, and the social benefits of R&D investment increased by 29.51%.
Keywords: EVs; optimizing intelligence; technological innovation; mathematical analysis; cost performance EVs; optimizing intelligence; technological innovation; mathematical analysis; cost performance

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MDPI and ACS Style

Wu, L.; Tian, C.; Liu, Y.; Liu, J.; Cong, D. Investigation and Analysis of the Contribution of Chinese Electric Vehicle Social Organizations’ Standardization Innovation to Intelligent Optimization Research and Development Investment. World Electr. Veh. J. 2024, 15, 442. https://doi.org/10.3390/wevj15100442

AMA Style

Wu L, Tian C, Liu Y, Liu J, Cong D. Investigation and Analysis of the Contribution of Chinese Electric Vehicle Social Organizations’ Standardization Innovation to Intelligent Optimization Research and Development Investment. World Electric Vehicle Journal. 2024; 15(10):442. https://doi.org/10.3390/wevj15100442

Chicago/Turabian Style

Wu, Linfeng, Chi Tian, Yiming Liu, Junhui Liu, and Dan Cong. 2024. "Investigation and Analysis of the Contribution of Chinese Electric Vehicle Social Organizations’ Standardization Innovation to Intelligent Optimization Research and Development Investment" World Electric Vehicle Journal 15, no. 10: 442. https://doi.org/10.3390/wevj15100442

APA Style

Wu, L., Tian, C., Liu, Y., Liu, J., & Cong, D. (2024). Investigation and Analysis of the Contribution of Chinese Electric Vehicle Social Organizations’ Standardization Innovation to Intelligent Optimization Research and Development Investment. World Electric Vehicle Journal, 15(10), 442. https://doi.org/10.3390/wevj15100442

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