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2023 | OriginalPaper | Buchkapitel

Development Strategies of Intelligent Automotive Industry Under the Background of Increasing Demand for Computational Capacity

verfasst von : Wang Zhang, Fuquan Zhao, Zongwei Liu

Erschienen in: Proceedings of China SAE Congress 2022: Selected Papers

Verlag: Springer Nature Singapore

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Abstract

The demand for computational capacity in intelligent vehicles is increasing rapidly, which drives the automotive industry to accelerate the integration with the information and communication technology industry. This study evaluates the demand for computational capacity from three levels: vehicle, driving environment and industrial chain. Based on deductive reasoning method, it is revealed that to realize the increase of computational capacity, the technical architecture of vehicles needs to be reshaped, the driving environment needs intelligent upgrade, and the industrial chain needs ecological development. Then, according to the development needs of relevant technologies and industries, brand-new market competition strategies, business relationships and ecological evolution paths are identified. Finally, some suggestions are put forward to original equipment manufacturers, chip enterprises and information and communication technology enterprises, which are related to computational capacity of intelligent vehicles.

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Vorheriges Kapitel The Role and Implementation Path of the Automotive Industry in Carbon Neutrality

Nächstes Kapitel Development Strategy of Shared Mobility Enterprise for Smart Cities

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Titel: Development Strategies of Intelligent Automotive Industry Under the Background of Increasing Demand for Computational Capacity
verfasst von: Wang Zhang
Fuquan Zhao
Zongwei Liu
Verlag: Springer Nature Singapore
Buch: Proceedings of China SAE Congress 2022: Selected Papers
Print ISBN: 978-981-9913-64-0

Electronic ISBN: 978-981-9913-65-7

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-99-1365-7_9

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