Go-Ahead has launched a large-scale deployment of charge management software from BetterFleet, aiming to optimise the performance of one of the largest electric bus fleets in Europe.

The implementation covers over 1,000 electric buses and chargers across 20 UK depots, with plans to expand the system to 1,500 units in 30 depots by the end of 2025.

BetterFleet provides charge management with Go-Ahead

The rollout represents one of the most extensive and complex applications of charge management technology in the public transport sector, the provided says. BetterFleet’s software is designed to integrate with various charger and vehicle types, offering depot operators a unified platform for monitoring and managing charging operations.

A core feature of the platform is its ability to aggregate and standardise data from multiple sources, providing real-time operational insights. This enables operators to streamline workflows and ensure vehicles are charged and available for service as scheduled. Automated load deferral functions are used to reduce peak demand and avoid infrastructure upgrades by optimising use of existing grid capacity.

The platform also incorporates incident management tools aimed at reducing downtime and maintenance costs. Through the BetterFleet IoT Hub, legacy charging hardware from multiple suppliers is integrated into a single interface. The system allows virtual upgrades of existing chargers, which can extend hardware lifespan and delay the need for replacements.

“We’re proud of our leadership in zero-emission transport. By using BetterFleet, we have live data to track and manage our zero-emission fleet through its in-depot charge status and on-road state of charge, as well as manage our energy consumption more effectively and minimise our impact on the grid,” said Matt Carney, CEO Go-Ahead Bus. 

“We’re thrilled to see our technology making an immediate impact on Go-Ahead Group’s operations,” said Daniel Hilson, CEO of BetterFleet. “Our platform’s real-time monitoring, automated scheduling, and AI-driven predictive analytics enable them to manage charging more efficiently, helping reduce costs and ensure that electric buses are ready to meet service.”

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