Guwahati, Tuesday, October 8, 2019
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‘Smart-Engineer’ to indigenise EV technology
 GUWAHATI, Oct 7 - To achieve greater penetration of Electric Vehicles (EVs) on the nation’s roads, the Indian Institute of Technology Guwahati (IITG) today announced the development of ‘smart-engineer’ - an artificial intelligence (AI) assisted engineering system design tool.

The ‘smart-engineer,’ built by the e-mobility lab (EML) at the IIT Guwahati, seeks to address one of the primary hurdles in indigenising the EV technology, which lacks trained human resources in engineering design and system integration.

The tool is built by a team comprising of PhD and Masters students - Rajendra Kumar, Bikash Sah and Ankit Vishway – by leveraging IBM Watson AI Platform and IBM Cloud.

In the first phase, the EML has 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. The AI-assisted design tool enables the fresh engineer to learn from the collective knowledge and wisdom of the experts without necessarily having to interact with them. The design engineer can seek an answer to their questions through this tool.

According to Professor Praveen Kumar, Department of Electronics and Electrical Engineering (EEE), IIT Guwahati, “The current version of smart-engineer can address the fundamentals involved in the design of induction motors. The early results are very promising, and we now intend to expand its capability to include the finer aspects of motor design.”

“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,” he further added.

The significant advantage of smart-engineer is that it helps the engineer 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.

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. Eventually, the collective knowledge and wisdom will be used and further enriched by the next generation of engineers.

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