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Impact, Challenges and Prospect of Software-Defined Vehicles

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Abstract

Software-defined vehicles have been attracting increasing attentions owing to their impacts on the ecosystem of the automotive industry in terms of technologies, products, services and enterprise coopetition. Starting from the technology improvements of software-defined vehicles, this study systematically combs the impact of software-defined vehicles on the value ecology of automotive products and the automotive industrial pattern. Then, based on the current situation and demand of industrial development, the main challenges hindering the realization of software-defined vehicles are identified, including that traditional research and development models cannot adapt to the iterative demand of new automotive products; the transformation of enterprise capability faces multiple challenges; and many contradictions exist in the industrial division of labor. Finally, suggestions are put forward to address these challenges and provide decision-making recommendations for enterprises on strategy management.

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Abbreviations

ECU:

Electronic control unit

EEA:

Electrical/electronic architecture

ICT:

Information and communication technology

OS:

Operating system

OTA:

Over-the-air

R&D:

Research and development

SDV:

Software-defined vehicle

SOA:

Service-oriented architecture

SoC:

System on chip

SOP:

Start of production

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Acknowledgements

This work was supported by National Natural Science Foundation of China (U1764265).

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Authors and Affiliations

  1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China

    Zongwei Liu, Wang Zhang & Fuquan Zhao

  2. Tsinghua Automotive Strategy Research Institute, Tsinghua University, Beijing, China

    Zongwei Liu, Wang Zhang & Fuquan Zhao

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  1. Zongwei Liu
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Correspondence to Fuquan Zhao.

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Liu, Z., Zhang, W. & Zhao, F. Impact, Challenges and Prospect of Software-Defined Vehicles. Automot. Innov. 5, 180–194 (2022). https://doi.org/10.1007/s42154-022-00179-z

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