Abstract:

The data for this report comes from the open lab of the National Big Data Alliance of New Energy Vehicles (NDANEV), an organization that aims to better monitor and manage the operation of new energy vehicles (NEVs). The open lab of NDANEV has been in operation since the beginning of 2017 and the number of vehicles connected exceeds 9.2 million, which is about 90% of China’s NEV stock. For this study, ICCT set the scope, metrics to investigate, and methodology based on the parameters that are contained in the event-level data, and the open lab of NDANEV processed the raw data based on the methodology we specified and shared the aggregated data. The author identified the 10 best-selling passenger car models in China during the period from 2017 to the end of 2021 and the data set analyzed included only private-use vehicles of those 10 models that were registered in five cities in 2021: Shenyang, Beijing, Hangzhou, Chengdu, and Guangzhou. That yielded a total data set of over 140,000 vehicles and the operations data analyzed is from full calendar year 2021.