As electrification moves into the fast lane, we face new technical and economic challenges. 

Battery packs make up to 40% of the total EV cost, and Lithium-ion cells make up to 70% of the cost of the battery packs. The cells are, therefore, the most critical component of the electric vehicle. Yet they are the least understood!

This is because the behaviour of cells is governed by a complex set of physical processes, viz. electrochemical, thermal, and electrical. Although several experimental and theoretical studies have been conducted to understand these processes, the effect of their interplay is still not well understood. The behaviour of the battery is highly nonlinear, which means predictions based on only data are not reliable. 

This leads to overengineering, which increases both costs and resource utilisation.

Since the safety of battery systems is paramount and battery life cannot be compromised due to the high cost of packs, companies today are investing heavily in lab testing of batteries, which is both expensive and time-consuming.

However, this accelerated testing under controlled conditions does not provide an accurate representation of battery behaviour in real life. Further, physics-based models need extensive parametrization and are computationally intensive, which adds to the development time.

oorja uses a hybrid approach, combining data and first principles physics-based modelling to deliver reliable and timely predictions of real-life battery behaviour.