Neural Network Based Drive Cycle Analysis for Parallel Hybrid Electric Vehicle

2020 ◽  
Vol 49 (4) ◽  
pp. 20200233
Author(s):  
V. Krithika ◽  
C. Subramani
Keyword(s):  
Neural Network ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Drive Cycle ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric

scholarly journals Design of artificial neural network based power split controller for hybrid electric vehicle

2018 ◽  
Vol 1 (1) ◽  
pp. 72-80
Author(s):  
Aqsa Kk
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Dynamic Programming ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Design Flow ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Artificial Neural ◽  
Hybrid Electric

 In this paper the work represent the design flow of artificial neural network (ANN) for the parallel hybrid electric vehicle using the dynamic programming strategy, for the better fuel economy and power for the real time driving condition. In this paper the artificial neural network for the parallel hybrid electric vehicle is first trained from the input/output data generated by a dynamic programming. The power spilt between electric motor (EM) and  internal combustion engine (ICE) an is prescribe by using this artificial neural network controller. One input layer is used and one output layer is used with 2 hidden layers. For the training of the data the numpy-library is used and matlab-simulink is used for the implementation. The trained data is used. The data is tasted on three driving cycle named NEDC, US06 and FTP-75 for both the thermal and hybrid vehicles.

Research on Dynamic Torque Control Strategy for Parallel Hybrid Electric Vehicle

2011 ◽  
Vol 228-229 ◽  
pp. 951-956 ◽  
Author(s):  
Yun Bing Yan ◽  
Fu Wu Yan ◽  
Chang Qing Du
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Dynamic Control ◽  
Torque Control ◽  
Engine Torque ◽  
Parallel Hybrid Electric Vehicle ◽  
Torque Control Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric

It is necessary for Parallel Hybrid Electric Vehicle (PHEV) to distribute energy between engine and motor and to control state-switch during work. Aimed at keeping the total torque unchanging under state-switch, the dynamic torque control algorithm is put forward, which can be expressed as motor torque compensation for engine after torque pre-distribution, engine speed regulation and dynamic engine torque estimation. Taking Matlab as the platform, the vehicle control simulation model is built, based on which the fundamental control algorithm is verified by simulation testing. The results demonstrate that the dynamic control algorithm can effectively dampen torque fluctuations and ensures power transfer smoothly under various state-switches.

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