Research on improving the safety of new energy vehicles exploits vehicle operating data

•Conducted a systematic study on the methodology to enhance the safety of new energy vehicles using operational vehicle data.•Utilizing a practical case study, vehicle operating data was employed to investigate the origins of combustion incidents in new energy vehicles.•A methodology to forecast failure risk by leveraging vehicle operational data has been developed and has been implemented effectively to alert for vehicles exhibiting abnormal behavior. New energy vehicles (NEV), a four-wheel vehicle that employs non-traditional fuels, develops rapidly, lacking in research and application on vehicle operating data mining to improve the safety status of NEV. In this study, the method to improve the safety of new energy vehicles through vehicle operating data was researched systematically. First, known combustion accidents of NEV were counted from multiple dimensions to present the current safety situation. Subsequently, the study delves deeper into the specific causes of combustion in battery electric vehicles with lithium-ion batteries by examining parameter trends and performance discrepancies. Then, a novel approach for detecting abnormal self-discharge in power battery cells using operational data was proposed. This method aids in the early diagnosis of abnormalities and has been successfully utilized to issue advance warnings for vehicles exhibiting such issues. In conclusion, the study offers strategic recommendations for digital interventions by regulatory bodies and manufacturers. These recommendations aim to foster a robust and sustainable NEV industry, prioritizing safety and fostering innovation.