scholarly journals SUBOPTIMAL SUPERVISORY LEVEL POWER FLOW CONTROL OF A HYBRID ELECTRIC VEHICLE

2005 ◽  
Vol 38 (1) ◽  
pp. 218-223 ◽  
Author(s):  
Kasemsak Uthaichana ◽  
Sorin Bengea ◽  
Raymond DeCarlo
Keyword(s):  
Flow Control ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Power Flow ◽  
Power Flow Control ◽  
Hybrid Electric

scholarly journals Bidirectional Dc to DC Converter with Ann Controller for Hybrid Electric Vehicle

2019 ◽  
Vol 8 (12) ◽  
pp. 4446-4453
Keyword(s):  
Flow Control ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Power Flow ◽  
Power Flow Control ◽  
Loop Control ◽  
Dual Source ◽  
Hybrid Electric ◽  
Artificial Neural Network Ann ◽  
The One

A bidirectional chopper (BDC) is the one which can interface main source (HVS), auxiliary source (LVS) and a DCBus voltage at different levels which is implemented in Hybrid Electric Vehicle (HEV). This converter operation is of two modes namely dual source powering mode and energy re generation mode along with power flow control in both the directions. And also the independent power flow control across two sources (i.e. the dual source buck-boost mode). The operation, closed loop control of artificial neural network (ANN) and the comparison between PI and ANN control are provided in simulation results.

System Integration for the Environmental Friendly Electric Vehicle

2014 ◽  
Vol 709 ◽  
pp. 300-303
Author(s):  
Kuang Shine Yang ◽  
Chih Ming Chang
Keyword(s):  
Flow Control ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
System Integration ◽  
Hybrid Electric Vehicle ◽  
Power Flow ◽  
Combustion Engine ◽  
Maximum Speed ◽  
Power Flow Control ◽  
Control Approach

This paper introduced a new power flow control strategy for a variable speed engine-generator based range-extended electric vehicle. The specific fuel consumption map of the internal combustion engine (ICE) has been obtained by off-line experiments to achieve optimal fuel efficiency. Finally, a typical range-extended electric vehicle is modeled and investigated such as acceleration traversing ramp, maximum speed, fuel consumption and emission are performed on the dynamic model of a range-extended electric vehicle. The energy consumption and cost were compared to tradition range-extended electric vehicle. Computer simulation results obtained, confirm the validity and performance of the proposed power flow control approach using for series hybrid electric vehicle.

scholarly journals Integrated system for power flow control between electric vehicle, utility grid and residence

2020 ◽  
Vol 13 (5) ◽  
pp. 953-960 ◽  
Author(s):  
Lucas Stefano de Souza Pelegrino ◽  
Marcelo Lobo Heldwein ◽  
Gierri Waltrich
Keyword(s):  
Flow Control ◽  
Electric Vehicle ◽  
Power Flow ◽  
Integrated System ◽  
Power Flow Control ◽  
Utility Grid

scholarly journals An Agent based Power Flow Control for Hybrid Electric Vehicles

2004 ◽  
Vol 37 (22) ◽  
pp. 481-488
Author(s):  
Lucio Ippolito ◽  
Vincenzo Loia ◽  
Pierluigi Siano
Keyword(s):  
Flow Control ◽  
Electric Vehicles ◽  
Power Flow ◽  
Hybrid Electric Vehicles ◽  
Power Flow Control ◽  
Agent Based ◽  
Hybrid Electric

A Method to Design A Power Flow and Energy Management Controller for Battery and EDLC Hybrid Electric Vehicle

2021 ◽  
Author(s):  
Ryo Kimura ◽  
Keiichiro Kondo ◽  
Kohei Aiso ◽  
Hiroyasu Kobayashi ◽  
Shunya Sakamoto ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Energy Management ◽  
Hybrid Electric Vehicle ◽  
Power Flow ◽  
Hybrid Electric

Power Flow Control in Hybrid Electric Vehicles

2011 ◽  
Author(s):  
Guillermo Becerra ◽  
Jose´ Luis Mendoza-Soto ◽  
Luis Alvarez-Icaza
Keyword(s):  
Flow Control ◽  
Fuel Consumption ◽  
Electric Vehicles ◽  
Power Flow ◽  
Hybrid Electric Vehicles ◽  
Optimization Problems ◽  
Combustion Engine ◽  
Computational Cost ◽  
Power Flow Control ◽  
Hybrid Electric

In this paper a new strategy for controlling the power flow in hybrid electric vehicles is described. The strategy focuses in the planetary gear system where kinematic and dynamic constraints must be satisfied. The aim is to satisfy driver demands and to reduce fuel consumption. The resultant power flow control is continuous and uses the internal combustion engine with the maximum possible efficiency. The strategy is not optimal, although it is inspired by the solution to most optimization problems. The main advantages are that the computational cost is low, when compared to optimization based approaches, and that it is easy to tune. The strategy is tested with simulations using a mathematical model of a power train of a hybrid diesel-electric bus subjected to the power demands of representative urban area driving cycles. Simulation results indicate that the strategy achieves small speed tracking errors and attains good fuel consumption reduction levels.

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