In order to complete the real-time monitoring of a new type of vehicle supercapacitor module working process and improve its safety and life, an intelligent monitoring system for vehicle supercapacitor module is designed. The system uses BQ76930 and STM32F103ZET6 micro controllers units (MCU) to design the hardware circuit. The fuzzy PID control algorithm is applied to obtain a good equalization effect, and an improved open circuit volt-ampere hour integration method is proposed for state of charge (SOC) estimation. Bidirectional data transmission is carried out between the slave computer and the cloud server through 5G network, and the data information is finally displayed on the monitoring interface of the host computer developed based on LabVIEW, so as to realize the visual remote monitoring of vehicle supercapacitor module composed of 10 monomer in series. The test results show that the dynamic voltage measurement accuracy of the system can reach±0.13%, the current measurement accuracy can reach±0.1 A, the temperature measurement accuracy can reach±0.3 ℃, the SOC estimation accuracy is within±1.15%. The system meets the accuracy requirements and has excellent balance effect. It provides a reference for users to carry out visual intelligent remote monitoring of supercapacitor module.