针对组合驾驶辅助系统泊车磕碰事故故障定位困难、人工排查效率低下的行业痛点，本文设计了一套新能源汽车泊车磕碰自动化诊断系统。文章详细阐述了系统的业务逻辑架构及自动化诊断策略原理，并通过实车测试进行了验证。结果表明，该系统成功实现了泊车磕碰风险的自动化诊断，将报告生成的平均时长压缩至 15 min 以内，显著提升了诊断效率。试验表明，该系统具备良好的可行性、稳定性与实用性，可为提升车辆售后响应效率提供有力的理论支撑及试验依据。

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.