Amid escalating global environmental issues, the new energy vehicle sector has garnered significant attention. DC/DC converters are pivotal in the control system of electric vehicles by providing stable and reliable power supply. Yet, traditional PID control designs for DC/DC converters fall short of meeting the stringent demands for power supply output voltage in modern new energy vehicles, resulting in instability, excessive overshoot, and lengthy adjustment periods. Additionally, conventional PID control systems exhibit poor optimization performance and place high demands on controller capabilities. To tackle these challenges, this paper introduces a control method for DC/DC converters based on an advanced PID design, integrating a fuzzy PI current-loop controller with a single-neuron adaptive control for the voltage loop. Theoretically the method can have the advantages of both algorithms and is simpler to control Simulation results indicate that this approach significantly enhances the DC output reliability, mitigates the effects of external disturbances, and demonstrates superior dynamic and robust performance.