Descripción del proyecto
La inteligencia artificial impulsa la electrificación del transporte
Se espera que los avances en inteligencia artificial (IA) modernicen todos los aspectos de la sociedad y la industria, lo que incluye su aplicación en la ingeniería. El proyecto financiado con fondos europeos ATEM investigará el papel de las aplicaciones de IA en la electrificación del transporte. El proyecto, que llevará a cabo su investigación en la potente industria automotriz sueca representada por la Universidad Tecnológica Chalmers, Volvo AB y Scania AB, se centrará en los retos en el proceso de transición hacia sistemas de transporte electrificados a través de la consolidación del modelo de batería electroquímica dirigida por datos, el control de velocidad de vehículos eléctricos automatizados basado en el aprendizaje profundo por refuerzo, y el modelo de recomendación de enrutamiento personalizado de los AEV. Su labor combinará informática, IA, ingeniería electromecánica, ingeniería eléctrica e ingeniería del transporte. Los resultados beneficiarán a los sectores de la industria automotriz y la gestión del transporte.
Objetivo
The technological blossom in artificial intelligence (AI) makes possible numerous advancements in various engineering disciplines. The applicant has been in the forefront of this AI innovation, and received seven world prizes in AI competitions. For this fellowship, he intends to use his AI expertise to examine the role that AI technologies can play in accelerating transport electrification, and subsequently contributing to climate action. In view of the strong vehicle industry in Gothenburg, Sweden, Chalmers and Scania AB collectively provide an outstanding research environment for this important topic. More specifically, this project will consolidate data-driven electrochemical battery model, deep reinforcement learning based automated electric vehicle (AEV) speed control and AEV personalized routing recommendation model, which are three biggest challenges in the transition process towards electrified transport systems. The fellowship will be co-supported by AI Innovation of Sweden, and Drive Sweden, with a hope to implement the expected findings in not only the vehicle industry but also transport management sectors. This research is interdisciplinary in nature, and requires expertise from computer science, artificial intelligence, electrochemical engineering, electrical engineering, and transport engineering. In this regard, the host institute, Chalmers University of Technology, has developed a well-designed career training and development plan for the applicant to work with renowned research leaders in relevant disciplines (e.g. Prof. Xiaobo Qu, Member of Academia Europaea; Prof. Karl Johansson, Fellow of Royal Swedish Academy of Engineering Sciences) to enhance his readiness to become an assistant professor after this fellowship. The applicant will also take advantage of the fertile research environment in Chalmers, and synchronize the workshops and reference groups with the host’s other EU and Swedish projects to disseminate the new findings.
Ámbito científico
- natural scienceschemical scienceselectrochemistry
- social sciencessocial geographytransportelectric vehicles
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
- engineering and technologycivil engineeringtransportation engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineering
Palabras clave
Programa(s)
Régimen de financiación
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinador
412 96 GOTEBORG
Suecia