A parameter matching study for fuel cell electric vehicles based on multi-index

doi:10.16731/j.cnki.1671-3133.2019.01.001

Modern Manufacturing Engineering ›› 2019, Vol. 460 ›› Issue (1): 1-7.doi: 10.16731/j.cnki.1671-3133.2019.01.001

A parameter matching study for fuel cell electric vehicles based on multi-index

Ying Tianxing¹, Cheng Wei², Kong Fanmin², Zhou Wei¹, Yang Lin¹

1 The Institute of Automobile Electronic Technology of Shanghai Jiaotong University,Shanghai 200240,China;
2 SAIC Motor Passenger Vehicle Company,Shanghai 201804,China

Received:2018-10-15 Online:2019-01-20 Published:2019-02-15

Abstract

Abstract: In view of powertrain parameter matching of Fuel Cell Electric Vehicles (FCEV),a multi-index parameter matching design method of the powertrain was discussed based on the goal of optimizing the vehicle dynamic performance and economic efficiency.In order to accelerate calculation of economic performance,the fast dynamic programming algorithm was proposed.By narrowing the search domain and dimensionality reduction,the time of calculation was shortened from 393.33 minutes to 12.52 minutes.Taking dynamic and economic performance as indicators,the range of the powertrain parameters was preliminarily determined.Then the orthogonal table was designed based on orthogonal optimal design theoretic.The results show that according to the parameters designed,the dynamic and economic performance are obviously improved compared with the original vehicle.

Key words: Fuel Cell Electric Vehicle (FCEV), parameter match, fast dynamic programming, orthogonal design

CLC Number:

U469.7

Ying Tianxing, Cheng Wei, Kong Fanmin, Zhou Wei, Yang Lin. A parameter matching study for fuel cell electric vehicles based on multi-index[J]. Modern Manufacturing Engineering, 2019, 460(1): 1-7.

References 10

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A parameter matching study for fuel cell electric vehicles based on multi-index

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