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Source: People's Republic of China in Russian – People's Republic of China in Russian –
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Source: People's Republic of China – State Council News
BEIJING, Jan. 18 (Xinhua) — A team of Chinese researchers has proposed a new data-driven framework for online estimation and analysis of the remaining driving range of electric vehicles in real time.
Despite the increasing number of eco-friendly vehicles on the road, range anxiety remains one of the main concerns faced by electric vehicle drivers. Accurately estimating remaining range can effectively address this issue.
However, in real-world driving conditions, the combined influence of factors such as driving style, ambient temperature, and battery deterioration makes it difficult to accurately estimate the remaining range.
To help drivers better understand the range of their electric vehicles, researchers from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences have developed a method for calculating energy consumption and battery “health” based on real-world vehicle operating data, according to a research paper published in the journal Applied Energy.
By integrating multiple factors, including driving behavior, ambient temperature, and battery condition, they built a model of energy consumption per mile driven. Based on this model, they accurately estimated the remaining range.
This step-by-step approach can explain which factors influence range and to what extent.
The proposed framework was tested on passenger cars and buses in various cities across the country over a three-year period. Based on real-world operating data covering a total mileage of over 300,000 km, the testing results showed that the range prediction accuracy achieved an average relative error of less than 5.5 percent.
According to the researchers, by adjusting driving style, the range can be increased by more than 30 percent for cars and more than 10 percent for buses.
This framework is designed to support intelligent fleet management, energy-optimized operation, and residual value assessment of electric vehicles. The researchers plan to expand their research to colder regions and more challenging road conditions.
To address capacity degradation and energy fluctuations at low temperatures, they will expand the structure's versatility by incorporating additional environmental parameters such as road surface conditions and humidity.
In addition, according to the DICP, they will promote deep integration of their research with on-board battery management systems and cloud operating platforms to create a safer and more efficient transport system based on new energy sources. -0-
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