Charging electrical vehicles with AI


  • Education
  • Sunday, 26 Jul 2020

EV and AI: Based on user behaviour, AI can predict the ideal charging and discharging priority of each EV.

MOVING towards a more sustainable future, an optimal Electric Vehicle (EV) charging system that uses Artificial Intelligence (AI) is in the works to facilitate wider use of the vehicle.

“There are still many technical challenges that need to be overcome in order to ensure the widespread utilisation of EVs in transportation sectors. The development of an optimal EV charging scheme is an on-going project that is crucial to maximise the economic and environmental benefits of EVs, ” said Asst Prof Dr Lim Wei Hong, UCSI University’s Faculty of Engineering, Technology and Built Environment deputy dean.

Invited as a visiting research scholar by National Taipei University of Technology (NTUT), Taiwan, in December 2019, Dr Lim had the opportunity to work with his former advisor Prof Dr Leehter Yao in developing a new EV charging scheduling scheme.

Dr Lim’s main responsibility was to refine the algorithm design, and to implement coding as well as perform simulation analysis and prepare the manuscript.

Dr Lim in front of Red House, an iconic monument in NTUT.Dr Lim in front of Red House, an iconic monument in NTUT.

“This project covered several crucial pillars of Industry Revolution 4.0 such as advanced simulation, Internet of Things (IoT) and Cloud Computing. Two Sustainable Development Goals (SDGs) were also addressed in this project: Goal 9 (Industry, Innovation and Infrastructure) and Goal 11 (Sustainable Cities and Communities), ” Dr Lim said.

One of the innovative points about the research project was the application of AI to predict the charging and discharging priority of each EV based on user behaviour.

“AI was found to be an excellent approach to represent the relationship between the charging and discharging priority of EV with those input parameters such as the arrival and departure time of EVs, battery capacity time of EVs, initial energy stored in EV batteries, and EV staying time in parking stations, ” Dr Lim said.

The research paper has been submitted to the international journal IEEE Transactions on Smart Grid and is currently under review.

“EVs have been acknowledged as the greener, more cost-efficient means of transportation and with battery charging as easy as charging one’s hand phone, it is certainly an option that seems more suitable for the present rather than just being reserved for the future, ” Dr Lim said.

As EVs are powered by electricity, he said widespread use can reduce greenhouse gas emissions, and subsequently lower air pollution and global warming.

Renewable energy such as solar power can be integrated into the EV parking station to fully or partially fulfil the power demands in charging the EVs, leading to the development of more sustainable infrastructures.

Dr Lim obtained his PhD from Universiti Sains Malaysia in 2014 and went on to NTUT as a post-doctoral researcher. His areas of expertise are Computational Intelligence and Energy Management Optimisation.

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UCSI , electrical vehicle , AI

   

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