Abstract:Hydrogen energy has significant advantages such as abundant sources and efficient conversion, and has good application prospects in the fields of industry and transportation. The future market potential of hydrogen fuel cell commercial vehicles in Beijing is taken as the prediction target, and three scenarios of optimistic scenario, optimistic scenario, baseline scenario and conservative scenario are set up. An intelligent prediction model of the development potential of hydrogen fuel cell vehicles in Beijing based on sparrow search algorithm optimized support vector regression (SSA-SVR) is constructed to predict the future market demand of hydrogen fuel cell vehicles in Beijing from 2022 to 2030 and put forward relevant suggestions. The results show that:① SSA-SVR intelligent prediction model can overcome the sensitive problem of single model parameter selection, and effectively predict the development potential of hydrogen fuel cell commercial vehicles in Beijing through parameter optimization. ② In the optimistic scenario, technological progress has the greatest impact on the development potential of hydrogen fuel cell commercial vehicles in Beijing. In the conservative scenario, basic conditions can be used as the primary factor to promote the rapid development of hydrogen fuel cell commercial vehicles.