Volume 55

An Improved Rule Based Energy Management Strategy for Ammonia-Hydrogen Hybrid Vehicles Utilizing BFS Optimization Zhengxian Chen, Tianle Wu, Weikang Li, Wenjie Ni, Chaosheng Huang, Jun Li

Abstract

Ammonia-hydrogen hybrid vehicles have emerged in recent years as zero carbon emissions vehicles, garnering significant attention from researchers. Currently, related research is primarily focused on ammonia-hydrogen internal combustion engines, while the overall power configuration and energy management methods for these vehicles remain underdeveloped. Therefore, this paper proposes an ammonia-hydrogen hybrid power system based on ammonia thermal decomposition technology, effectively leveraging hydrogen’s high combustion speed and ammonia’s high energy density. Additionally, a rule-based energy management method for this system was designed and optimized using a breadth-first search (BFS) algorithm, achieving promising results. The proposed energy management method not only provides a valuable reference for related research but also offers practical guidance for engineering applications.

Keywords Ammonia, hydrogen, hybrid vehicles, energy management, BFS algorithm