Integrated manufacturing of REciclable multi-material COmposites for the TRANSport sector
Boron nitride: The key material in polymer composites for electromobility
Boron nitride in polymer composites optimizes thermal management in ePowertrains, leading to enhanced electric vehicle performance.Despite the continuous development and improvement of many technologies and multifunctional materials for the electric powertrain (ePowertrain) for electric vehicles, there are still technical issues and challenges to address such as thermal management in batteries, electric motors, and power electronic devices, as most of their failures are due to poor thermal management. Consequently, conventional engineering polymer materials already used must be replaced since most of them have low thermal conductivity and are therefore limited in performance for thermal management applications. A key solution is to develop highly thermally conductive polymer composites that combine other features, such as flame?retardant, electrical insulation, and mechanical and barrier properties, by incorporating fillers into the polymer matrix. This approach has attracted intensive research efforts. In this review, we first examine the key drivers, trends, and solutions of the ePowertrain segment, emphasizing thermal management. Second, special attention is given to the state?of?the?art boron nitride (BN) polymer composites with current or potential applications in the automotive industry, especially, in batteries, electric motors, and power electronics. Third, analysis and prediction of thermal properties of BN polymer composites by finite element simulation are presented. Finally, outlooks for future research in this field are highlighted.HighlightsThermal management of batteries, electric motors and power electronics, using BN polymer composites, optimizes the functionality of electric vehicles.Cross?linked polymers with BNNSs provide resins for high power motors, film capacitors, and Li?metal battery electrolytes for electric vehicles.Mathematical modeling and life cycle analysis can predict trends and research gaps in ePowertrain applications.
» Publication Date: 15/10/2024
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 768737
