Achieving a technical transition from internal combustion engine vehicles to battery electric vehicles in the automotive sector in Europe: challenges and strategies

The European Union (EU) aims to reduce overall carbon dioxide emissions at least 80% by 2050. This research argues that the required changes in the automotive value chain might be achieved by i) an industrial structure enabling the mass production of BEVs ii) understanding and supporting the development of newcomers that are in the majority of micro, small and medium sized enterprises (SMEs) in emerging BEV sector and iii) use of target instruments by governments to accelerate the development of BEV value chain and industrial structure. Based on this strategy, three stage study was performed. This involved i) exploring the present BEV industry structure and compatible future structure ii) exploring the approach of SMEs to emerging BEV sector to understand and support these actors and iii) developing and trialling a novel framework enabling the pre-implementation analysis of putative policy measures. In each stage of the research, different methodologies were used. This included an analysis of supply chain for BEVs in North-West Europe (NWE); semi-structured in-depth interviews with SMEs throughout NWE and development and application of an “adaptive neuro-fuzzy inference system” (ANFIS) based framework. This study contributes to the body of knowledge by investigating the implications of BEVs on the supply chains and exploring what competences and capacities might be needed for mass production of BEVs in Europe. Secondly, this research proposed that economic growth and emission reduction targets established in the existing economic strategy of the EU (Europe 2020 strategy) might be achieved, and a significant contribution to achieve the 2050 emission reduction target might be made by supporting SME development. Support areas for SMEs were also identified. Lastly, to support national governments in making informed decisions, an ANFIS framework providing an ex-ante impact of various innovation decisions was offered.

Language

  • English

Media Info

  • Pagination: 1 file

Subject/Index Terms

Filing Info

  • Accession Number: 01632523
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ATRI
  • Created Date: Apr 24 2017 10:21AM