In response to industry challenges such as the difficulty in locating parking collision accident faults in the integrated driving assistance system and the low efficiency of manual troubleshooting, this paper designs an automated diagnosis system for parking collisions of new energy vehicles. The article elaborates on the business logic architecture and the principle of automated diagnosis strategy of the system, and verifies it through real vehicle tests. The results show that the system successfully realizes the automated diagnosis of parking collision risks, and compresses the average report generation time to within 15 minutes, significantly improving the diagnosis efficiency. Test verification shows research proves that the system has good feasibility, stability, and practicability and can provide strong theoretical support and experimental basis for improving the efficiency of vehicle after-sales response.