Driving range estimation for battery electric vehicles based on driving cycle identification

作者：Yin, Andong; Zhao, Han; Zhou, Bin; Jiang, Hao; Lu, Ruigang

来源：Qiche Gongcheng/automotive Engineering, 2014, 36(11): 1310-1315.

• Average absolute error
• Driving cycle
• Driving range
• Fuzzy C means clustering
• Identification method
• MATLAB /simulink
• Maximum absolute error
• Vehicle energy consumption

In this paper, a driving cycle identification method is adopted, which combines principal component analysis with fuzzy clustering, to estimate the driving range of battery electric vehicle. Firstly twenty representative driving cycle data are selected and divided into 215 cycle segments, and 12 characteristic parameters are chosen to conduct principal component analysis, fuzzy C-means clustering and driving cycle identification. Then a model for battery electric vehicle is established with MATLAB/Simulink to perform driving cycle identification and the simulation estimations of vehicle energy consumption and driving range. Finally a real vehicle validation test is carried out on drum test bench with ECE15 cycle. The results show that compared with test data, the maximum absolute error of simulated estimates is 1.905km, and the corresponding average absolute error and relative error are 0.742km and less than 3% respectively.

• 出版日期2014
• 单位合肥工业大学