
To advance greater penetration of Electric Vehicles (EVs) on the nation’s roads, the Indian Institute of Technology (IIT), Guwahati announced the development of an Artificial Intelligence (AI) – assisted engineering system design tool: Smart-Engineer. The tool is built by PhD. and master’s students by leveraging IBM Watson AI Platform and IBM Cloud.
The ‘Smart-Engineer,’ built by the e-mobility lab (EML) developed an AI-based electric motor designer that helps a novice design engineer to design a motor for EV application, without the need for much intervention from experts. In Smart-Engineer, the knowledge base of expert motors designers is captured and programmed using IBM Watson’s AI platform hosted on IBM Public Cloud.
Talking about the development of Smart-Engineer, Praveen Kumar, professor at Department of Electronics and Electrical Engineering (EEE), IIT Guwahati, said, “The current version of Smart-Engineer is able to address the fundamentals involved in the design of induction motors. The early results are very promising, and we now intend to expand the capability of Smart-Engineer to include the finer aspects of motor design. We are compiling the know-why of motor design that we have gathered over the years in the e-mobility lab (EML) and will use this knowledge repository, combined with IBM’s AI and cloud capabilities, to make Smart-Engineer even smarter.”
The significant advantage of Smart-Engineer is that it helps the engineer to climb the steep learning curve of motor design in the shortest possible time, and it is scalable. Eventually, the capabilities of Smart-Engineer will be enhanced to address the other domains of EV such as power electronics, control systems, battery management systems, among others, said the institute.
Smart-Engineer will enable companies to store and maintain the collective knowledge of expert engineers, which in turn can preserve and promote further theoretical and practical advancements in design thinking/ philosophy. Eventually, the collective knowledge and wisdom will be used and further enriched by the next generation of engineers. We hope that in the coming years, AI technology will go a long way to retrain the working professionals and fresh engineers in the area of e-mobility.