Battery Enclosure

Battery enclosure design for electric vehicles is undergoing rapid advancement, focusing on optimizing crashworthiness and leveraging lightweight, high-strength materials like carbon fiber composites. Researchers are employing high-throughput finite element analysis coupled with machine learning techniques, such as Gaussian Process Regression, to rapidly explore the design space and predict crash performance with high accuracy. This accelerates the development process and enables informed material and process parameter selection, ultimately contributing to safer and more efficient electric vehicles.