Beihang University

Junwei Zhao

Xiangyang Xu

Peng Dong

Yanfang Liu

Shuhan Wang

Wei Guo

A global energy management optimization method in multi-task cross-core deployment for hybrid electric vehicles, belonging to the technical field of hybrid electric vehicle energy management, which is capable of solving the problem that conventional hybrid electric vehicles cannot realize global energy management at a vehicle end; through adopting the present invention, the problems relating to the failure of timely achieving global energy management for hybrid electric vehicles, poor vehicle speed performance and driving safety caused by the high difficulty of effectively connecting and deploying different computing tasks of global energy management are solved; a multi-core heterogeneous controller is used to perform multi-task deployment, which solves the problems caused by one type of tasks requiring high computing power but low real-time response while another type of tasks requiring low computing power but high real-time response, ensures the efficient utilization of control chips of the hybrid transmission.

Global energy management optimization method in multi-task cross-core deployment for hybrid electric vehicles

A configuration evaluation method and a platform for electromechanical coupling transmission of hybrid electric vehicles, includes an energy flow transfer path evaluation module for evaluating the energy flow transfer path, an electromechanical coupling transmission dynamic performance evaluation module for evaluating the dynamic performance of electromechanical coupling transmission, an electromechanical coupling transmission economic efficiency evaluation module for evaluating the economic efficiency of electromechanical coupling transmission, an electromechanical coupling transmission driving cycle adaptability evaluation module for evaluating the driving cycle adaptability of electromechanical coupling transmission, a component feature parameter rationality evaluation module for evaluating the rationality of component feature parameters, a structure and cost evaluation module for evaluating the structure and cost, and a comprehensive evaluation module for performing a comprehensive evaluation.

Growing community of inventors

Beijing, China

Junwei Zhao