Readiness Status of Artificial Intelligence Applications on Electric Vehicles A mini global review and analysis using the J-TRA method

Andante Hadi Pandyaswargo*, Meilinda Fitriani Nur Maghfiroh, Hiroshi Onoda

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The transportation sector is a significant contributor to global greenhouse gas (GHG) emissions. It is estimated that replacing fossil fuel-based vehicles with electric vehicles (EVs) powered by sustainable and renewable energy could contribute to approximately 21% of emission avoidance by 2050. To improve the efficiency of EV operation, various artificial intelligence (AI) technologies have been applied. Examples include charging system optimization, self-driving car technology, and traffic control technology. To understand the current readiness status of those technologies applications, a small database of AI use in EVs that is in practice globally is constructed. There are 23 locations of prototype projects identified. The projects are categorized by the AI type, developer type, size of operation, and readiness status. Readiness status is analysed with the Japan Technology Readiness Assessment (J-TRA) methodology. There are seven analysed parameters: 1) Market, 2) Technology development, 3) System Integration, 4) Sustainability Verification, 5) Safety, 6) Commercialization and 7) Cost and Risk. The results show that while there is a promising market, steady progress in technological development, and verified environmental benefits, more work is needed to ensure safety and integration with the current systems before the technology can reach higher readiness levels of commercialization, cost, and risk-coping mechanisms.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Engineering and Information Technology for Sustainable Industry, ICONETSI 2022
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450397186
DOIs
Publication statusPublished - 2022 Sep 21
Event2nd International Conference on Engineering and Information Technology for Sustainable Industry, ICONETSI 2022 - Tangerang, Indonesia
Duration: 2022 Sep 212022 Sep 22

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2nd International Conference on Engineering and Information Technology for Sustainable Industry, ICONETSI 2022
Country/TerritoryIndonesia
CityTangerang
Period22/9/2122/9/22

Keywords

  • Artificial intelligence
  • TRA
  • electric vehicle
  • self-driving car
  • smart grid

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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