Predictive eBoost’s project aims to improve the performance of electric vehicles’ powertrain and batteries

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The inLab FIB of the Universitat Politècnica de Catalunya · BarcelonaTech (UPC) collaborates with SEAT and the Volkswagen Group Innovation (Wolfsburg, Germany) in the Predictive eBoost project.

This project is focused on designing new strategies, based on machine learning algorithms and data analysis, to improve the efficiency and performance of electric vehicle motors and batteries.

Which are the current strategies?

Electric vehicle batteries are becoming more powerful and with more autonomy, but they also need proper thermal management. Current strategies only take into account the current temperature of the vehicle components to decide when to cool or heat them.

Data and machine learning as the way for improvement

The focus of Predictive eBoost is to use the vehicle's journey information, such as road slope or speed, to decide when to activate the battery cooling and thus be able to improve current strategies. This machine learning model will lead to better efficiency and consumption criteria.

Why should a vehicle invest energy in cooling its battery if it finds a long slope in which it can cool on its own in just a few minutes? If it is known that a significant acceleration is approaching, wouldn't it be better to prepare the vehicle in advance to mitigate the effort it will have to make? These, among others, are some of the questions that this project seeks to answer.

In conclusion, if we consider not only the temperature of the components of the vehicle, but also its condition, the environment and the journey, we can optimize the performance and consumption of the battery in order to increase its autonomy and useful life, and reduce the environmental impact. In this way, the results of the project will be an important step forward in the implementation of the electric vehicle as it will allow to extend the distance travelled without having to stop, while providing a more satisfying driving experience.

Signing of the collaboration agreement and configuration of the R&D team

The research group counts with Dr. Gerhard Lux, of SEAT, and Marc Duevel, of Volkswagen Innovation Group, and is led by Professor Ernest Teniente, Director of the inLab FIB, the innovation and research laboratory of the Faculty of Informatics of Barcelona (FIB) of the UPC.

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