Application Research of Big Data Analysis in New Energy Automobile Maintenance Technical Support and Fault Diagnosis

Big data analysis in New Energy Automobile (NEA) maintenance and fault diagnosis improves efficiency and quality of maintenance, benefiting the future of the automobile industry. Based on big data analysis and combined with the current status of NEA maintenance technical support and fault diagnosis, the paper provides an in-depth analysis of the application value of big data in NEA maintenance technical support and fault diagnosis, and elaborates on the specific application of big data in NEA maintenance technical support and fault diagnosis. The experimental results show that the application of big data can reduce the failure rate of the battery system to a minimum of 11%, the power system to 10%, and the work efficiency to 89.5%, laying a good foundation for the healthy development of the NEA industry.