Predictive Analytics

The electric vehicle (EV) industry is experiencing a significant transformation, and AI-powered predictive analytics of Electric Power train components are at the forefront of change. By leveraging sophisticated algorithms and machine learning, EV manufacturers can now foresee and address maintenance issues before they escalate into major problems.

Use Case 1: Data Driven based Predictive Analytics of Electric Vehicle Battery Pack

Predictive Analytics of Remaining Useful Life and Degradation Capacity of Lithium Ion Battery Pack of Electric Vehicle

Use Case2: Data Driven based Time Series Forecasting of Motor

The Data Driven based Model of PMSM motor is designed similar to physical model. The critical parameters are sensed using sensors, given to Digital twin model for training, validation and prediction of various motor state

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