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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    Titel :

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


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Zhang, Wang (Autor:in) / Zhao, Fuquan (Autor:in) / Liu, Zongwei (Autor:in)

    Kongress:

    Society of Automotive Engineers (SAE)-China Congress ; 2022 ; Shanghai, China November 22, 2022 - November 24, 2022



    Erscheinungsdatum :

    2023-04-29


    Format / Umfang :

    16 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch