A data analytics start-up for electric vehicles, Irasus Technologies, is predicting possible malfunction of batteries by using artificial intelligence (AI) and machine learning (ML) on real-time data from connected batteries in EVs on the road. This could help prevent accidents such as fires and other issues plaguing the EV domain.

Based in Gurgaon, Irasus uses cloud-based analytics to monitor battery performance and detect malfunctions and also provide solutions. The aim is to improve and increase the longevity of the battery systems.

Founded in 2018 by Arjun Sinha Roy and Aniruddh Ramesh, both from BITS Pilani, Irasus recently received a round of angel funding. “We will be closing the year with a revenue of Rs 60 lakh and we have a team of 15 engineers,” said Ramesh.

Irasus, which is a B2B start-up, currently has Tier 2 battery pack manufacturers, and certain OEMs, particularly in the two-wheeler and three-wheeler sector and electric bus companies as its clients. Explaining its operations, Roy said: “There is a battery on the field, using telematic devices we can look at the data on the cloud. Every battery which is connected sends data, using data we gauge the performance of the batteries.”

“Software platforms and data analytics can be used to drive reliability and safety to a great extent. The data from the battery gives us an idea of voltage, current, and temperature, apart from a whole host of other technical parameters. Variations in voltage and current happen all the time, but a sustained pattern could quickly be identified and correlated to problems with individual cells,” said Roy.