IIT Guwahati
IIT Guwahati. Image credit - www.iitg.ac.in

In order to help create experts in electric vehicle (EV) motor designing in the country, the Indian Institute of Technology, Guwahati (IIT-G) has developed an artificial intelligence (AI)-enabled smart engineer.

According to reports, the artificial intelligence-assisted engineering system tool has been developed by a team of the institute including Rajendra Kumar, Ankit Vishway, Bikash Sah and Rajendra Kumar.

The smart engineer, designed by leveraging the IBM Watson AI platform and IBM cloud, has been built in the e-mobility laboratory (EML) at IIT-Guwahati.

Also read: IIT Guwahati to enrol 100 meritorious students from Jammu & Kashmir

The smart engineer seeks to address one of the primary hurdles in indigenizing the EV technology, which is the dearth of trained human resources in engineering design and system integration, said an IIT-G release.

The release said, “A key challenge posed by EV technology is, how can a pool of trained human resources with the technical know-how be created in the shortest possible time. IIT Guwahati’s EML has been working towards addressing this critical challenge using AI.”

The EML, in the first phase, has developed an AI-based electric motor designer that helps a novice engineer design a motor for EV application without expert intervention.

As per a TOI report, in the ‘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 report quoted Professor Praveen Kumar, who teaches at the electronics and electrical engineering department of IIT-G, as saying: “The current version of the 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 the 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 the smart engineer even smarter,” added Prof Kumar.

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