ABB and Amazon Web Services to develop EV management solution

ABB and Amazon Web Services (AWS) have announced they will be jointly developing a cloud-based digital solution for the real-time fleet management of electric vehicles (EVs).

The solution will optimise the efficient use of EVs and speed up the electrification of transport fleets, helping fleet operators worldwide maintain 100 percent business continuity as they transition to fully electric.

The collaboration will combine ABB’ experience in energy management, charging technology and e-mobility solutions with AWS’s cloud technology and software expertise.  

The new platform, which is planned for roll out in the second half of 2021, will offer a tailored user experience in a single-view platform. From the EV charge point to the fleet data dashboard, it will make EV fleet management more efficient and maximize reliability.

Frank Muehlon, President of ABB’s eMobility Division, comments: “ABB and AWS share a similar vision around the potential of eMobility to transform society. Our combined expertise supports the common goal of making EV fleet management simpler and more accessible. This new solution will revolutionize the world of electric mobility, integrating EV hardware and software into one ecosystem to provide a seamless user experience. We are confident that by working together we can propel the use of electric fleet vehicles by giving operators the confidence to make the switch.”

To drive progress in EV fleets, ABB has created a pureplay venture in Berlin that will develop tailored, scalable and cost-effective technologies for fleet operators which can be used by all vehicle OEMs. Working with AWS, this new venture will design the interoperable fleet management solution to work with all vehicle types and charging infrastructure. Using machine learning and analytics, it will include a compelling set of features including charge planning and real-time monitoring with insight and actions for vehicle health and servicing, along with EV route optimization based on time of day, weather and use patterns.