EV Battery Health Monitoring and Range Prediction Analytics Solution

Objective: Develop an analytics platform to accurately predict EV battery health and driving range, enabling proactive maintenance and improved user experience for Indian automobile stakeholders.

Context: As India's electric vehicle adoption accelerates, battery health and range anxiety remain major concerns for both consumers and fleet operators. Real-world conditions, variable charging infrastructure, and harsh climates affect battery life and performance, making reliable prediction crucial for operational efficiency and customer trust.

Approach: The team will collect and analyze battery usage, charging cycles, environmental, and driving data from OEMs, public datasets, and telematics. Advanced analytics and machine learning models will be developed to predict battery degradation and expected range under Indian conditions.

Deliverables: The project will produce a working analytics dashboard (prototype), detailed predictive models, technical documentation, and actionable insights for maintenance scheduling, warranty claims, and customer advisory. Comparative analysis with global benchmarks will be included.

Business Impact: The platform enables automakers, fleet managers, and EV service providers to optimize battery management, reduce downtime, enhance user confidence, and inform strategic decisions on warranties, after-sales service, and product design across India.