How a prominent Car-sharing service improved their EV’s Battery Health and Lifespan

A very prominent car-sharing service provider wanted to maximize the utility of their EVs by monitoring and detecting anomalies in real-time. Using Datakrew’s Battery Diagnostics & Analytics solution, the client was able to monitor SOH, SOC, and charging behavior.

Our client is Singapore's largest car-sharing service provider that offers a hassle-free car rental experience. They have a substantial presence with over 3,000 cars available in more than 1,600 locations across the island. Their service has achieved significant usage with over 1.8 million bookings.

Our client faced challenges with their existing battery management system, which failed to detect irregularities in battery and charging behavior. This led to increased downtime and frequent need for maintenance. They wanted to closely monitor the State of Health of the battery in real-time to reduce the frequency of vehicle repair and downtime.

With Datakrew’s Battery Diagnostics & Analytics solution, enhanced anomaly detection was possible. A wide range of anomalies including overcharging, missing cell modules, and irregular SOC patterns were detected. Our system used sophisticated algorithms to analyze and flag any deviations from normal operational parameters.

Our model utilized historical and real-time data to provide accurate predictions about the battery's condition and expected lifespan. This facilitated better maintenance scheduling and operational planning based on driving, charging, and parking tendencies.

The enhanced anomaly detection led to safer and more efficient battery operation. Early identification of issues like overcharging and module faults reduced the risk of battery damage and extended its lifespan.

Consequently, a notable improvement in the battery's State of Health was observed, with the reduction of unexpected failures and maintenance. The advanced SoH prediction model gave clarity and time to plan EV activity accordingly.