PRODUCT OVERVIEW
Energy Consumption Prediction addresses fleet operators who are introducing battery-electric trucks into their fleet and therefore need a reliable prediction of the driving range. The service is easy to integrate in existing transport management systems. Based on various parameters and different consumption models, our service helps to plan more tours, thus increasing the trucks' operation time. Additionally, the charging time prediction reveals when the trucks are ready for the next tour.
The energy consumption prediction cloud service supports fleet operators to operate battery electric vehicles without having to worry about range problems and charging. The support begins right from when the dispatcher uses the transport management system (TMS) to plan the routes. The energy consumption prediction cloud service can be conveniently integrated in the TMS. The planned route with all loading and unloading information, service and charging times, trailer changes etc. is seamlessly transferred from the TMS to the cloud service.
Energy consumption prediction evaluates the route and predicts whether the vehicle can reach all destinations with or without needing to be recharged on route. If the vehicle does need to be recharged, an additional stop must be considered in the route planning, and the TMS can easily reorganize the routes.
All the driver needs to know is where to load and unload the transport goods, when and where to stop for charging, and how long the charging process is expected to take. This ensures the driver has the best chance of delivering all goods just in time – without any unpleasant surprises. And the fleet manager can turn their attention to other tasks with peace of mind.
Our strengths and your benefits:
- Model-based: Range prediction models based on extensive Bosch powertrain expertise
- Reliable: Transparent energy consumption prediction per route and per leg for each tour planning
- Accurate: Consideration of multiple effects that influence energy consumption to achieve maximum accuracy
- Independent: Prediction models for various vehicle types, independent of their manufacturers.
