Abstract
With the application of electric vehicles, the problem of energy consumption has been widely concerned. Fixed operating conditions energy consumption in the laboratory environment was used for vehicle identification, which made big difference from the actual situation. The paper was based on the actual operation data of the vehicles. The influence factors of energy consumption have been put forward through theoretical analysis. The correction factor was calculated by big data analysis and statistical fitting. The actual energy consumption of electric vehicles can be more accurately estimated through the research results.
Highlights
Electric vehicles are strategic emerging industry in automobile industry of China
In the actual use process, there is a big gap between the energy consumption of pure electric vehicles and the laboratory environment
The results show that the operating speed and the operating environment temperature are the two factors that have the biggest influence on energy consumption after the driver factor is removed
Summary
Electric vehicles are strategic emerging industry in automobile industry of China. The application of electric vehicles plays a positive role in improving the energy consumption structure, reducing air pollution, and promoting the transformation and upgrading of the transportation industry.Driving range is directly determined by the energy consumption of electric vehicles. The influencing factors of the energy consumption of electric vehicles in the actual operation are analyzed in the paper, and the correction coefficient of each influencing factor is calculated through the collection, statistics and fitting of the operation big data. In order to ensure that the speed interval division method is clear when calculating the correction factor, the speed distribution of electric vehicles was further analyzed.
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