How a Leading Logistics Provider Achieved Accurate SOC Prediction and Fault Detection

A leading Logistics and Industrial Solutions provider needed a state-of-the-art Battery Intelligence and Analytics solution that could monitor battery SOC and provide pre-emptive fault detection and management. Using Datakrew’s Battery Diagnostics & Analytics solution OXRED, the client was able to minimize range anxiety, safety concerns, and downtime.

Our client is prominent in Thailand’s logistics and industrial facilities sector. They specialize in providing fully integrated logistics and industrial solutions. The client is known for their high-quality facilities and prime logistics locations.

Our client used traditional Battery Management Systems that lacked advanced SOC prediction, leading to inaccuracies in estimating the remaining battery charge. This resulted in range anxiety among EV drivers, especially in scenarios with unexpected detours or changes in driving conditions.

Due to limited capabilities in early fault detection, they frequently encountered unforeseen battery failures and operational disruptions that caused significant downtime and safety concerns.

Datakrew’s EV agnostic analytics solution was introduced. Our Advanced Fault Detection and Management System utilized real-time diagnostics and predictive analytics to identify potential battery issues before they escalated. Thus ensuring proactive maintenance and reducing unexpected downtimes. This service was provided in real time via APIs.

Our sophisticated SOC Prediction Technology leveraged historical data, driving patterns, and contextual factors like traffic and weather conditions and thereby accurately forecasted the battery's state of charge throughout the journey.

With our solution in place, the client experienced a significant reduction in battery-related failures and operational downtime.

By accurately predicting the State Of Charge, drivers were able to plan their journey without range anxiety and with improved confidence.