[1]BU Fanjing,WANG Yaonan.Study of electric vehicle emissions by applying modified differential evolution algorithm[J].CAAI Transactions on Intelligent Systems,2017,12(1):110-116.[doi:10.11992/tis.201603052]
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Study of electric vehicle emissions by applying modified differential evolution algorithm
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
12
Number of periods:
2017 1
Page number:
110-116
Column:
学术论文—机器学习
Public date:
2017-02-25
- Title:
- Study of electric vehicle emissions by applying modified differential evolution algorithm
- CLC:
- TP18;U469.7
- DOI:
- 10.11992/tis.201603052
- Abstract:
- This paper studies the fuel economy of carbon monoxide (CO) and the problems associated with it and the hydrocarbons (HC) emissions of range extender electric vehicles. The problem was firstly converted to simple target by normalization and weighted average. Modeling and simulation of the fuel economy and CO and HC emissions of a range extender were based on a map and conducted using MATLAB and GUI and the motor’s external characteristics, actual power demand, and other parameters were used as constraints. The modified differential evolution algorithm was then employed to realize the problem. Finally, experimental verification of fuel economy and CO and HC emissions were conducted using the proposed approach and performed using the AVL Puma Open bench under HWFET driving cycles. The experiment results show that an approach aimed at fuel economy and optimizing CO and HC emissions involves controlling the engine speed and generator torque to optimize the fuel consumption rate in real-time and effectively enhances vehicle fuel economy and reduces CO and HC emissions .
- References:
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1900-01-01