会议论文详细信息
2017 International Conference on Control Engineering and Artificial Intelligence
Performance Analysis of Hybrid Electric Vehicle over Different Driving Cycles
计算机科学
Panday, Aishwarya^1 ; Bansal, Hari Om^1
Electrical and Electronics Engineering Department, Birla Institute of Technology and Science, Pilani, India^1
关键词: Battery modeling;    Control strategies;    Driving cycle;    Fuel efficiency;    Multi-criteria decision making methods;    Performance analysis;    Size reductions;    SOC estimations;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/806/1/012014/pdf
DOI  :  10.1088/1742-6596/806/1/012014
学科分类:计算机科学(综合)
来源: IOP
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【 摘 要 】

Article aims to find the nature and response of a hybrid vehicle on various standard driving cycles. Road profile parameters play an important role in determining the fuel efficiency. Typical parameters of road profile can be reduced to a useful smaller set using principal component analysis and independent component analysis. Resultant data set obtained after size reduction may result in more appropriate and important parameter cluster. With reduced parameter set fuel economies over various driving cycles, are ranked using TOPSIS and VIKOR multi-criteria decision making methods. The ranking trend is then compared with the fuel economies achieved after driving the vehicle over respective roads. Control strategy responsible for power split is optimized using genetic algorithm. 1RC battery model and modified SOC estimation method are considered for the simulation and improved results compared with the default are obtained.

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