To increase the range of new energy vehicles online, it is necessary to consider both conversion efficiency and operational safety. Therefore, it is proposed to install thin-film photovoltaic panels around the box of the new energy logistics vehicle and use DCDC converter to charge and supplement the battery in real-time online to increase the road. By using particle swarm optimization algorithm to dynamically adjust the operating point of photovoltaic cells, it ensures that they always operate at maximum power point tracking (MPPT) output state under different lighting and temperature conditions, achieving efficient and reliable charging goals without increasing the additional weight of the converter. Summarize a process of using particle swarm optimization algorithm to optimize the voltage or current value that can maximize the output power of a photovoltaic system and verify it in device testing. MPPT method for solar photovoltaic systems based on particle swarm optimization algorithm can be widely applied in the field of MPPT for solar panels due to its advantages of simple programming and easy implementation in solving nonlinear optimization problems.