A study on the distributed energy of the CFA6470 hybrid electric vehicle based on the method of the MATLAB

Author

Yuanwang, Deng ; Yaonan, Wang ; Jieping, Chen

Author_Institution

Coll. of the Electr. & Inf. Eng., Hunan Univ., Changsha, China

Volume

1

fYear

2005

fDate

27-29 Sept. 2005

Firstpage

853

Abstract

The paper presents an investigation of the distributed energy problem in the CFA6470 hybrid electric vehicle (CFA6470HEV). The parallel hybrid drivelines are introduced in the CFA6470HEV. The universal characteristics of the engine are achieved with the neural network model, based on the engine experiment. The optimal operating state of the engine is obtained by assuming one value of the specific fuel consumption. The power and torque of the vehicle is also calculated using four continuous ECE-15 cycles and one EUDC cycle. Thus the operation rule of the electric motor can be achieved. The state of charge of the battery pack has been evaluated by using the energy conservation between the electric motor and battery pack. The result shows that the method is feasible. Both of the operating state of the vehicle and the state of charge of the battery pack can be controlled correctly.

Keywords

electric motors; electrical engineering computing; hybrid electric vehicles; neural nets; torque; traffic engineering computing; CFA6470 hybrid electric vehicle; MATLAB; battery pack; continuous ECE-15 cycles; distributed energy; electric motor; energy conservation; fuel consumption; neural network model; parallel hybrid drivelines; Batteries; Electric motors; Energy conservation; Engines; Fuels; Hybrid electric vehicles; MATLAB; Mathematical model; Neural networks; Torque; Hybrid electric vehicle; the neural network toolbox; the state of charge of the battery pack.; the universal characteristics of the engine;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on

Print_ISBN

7-5062-7407-8

Type

conf

DOI

10.1109/ICEMS.2005.202659

Filename

1574892