Wavelet-transform based energy and power decoupling strategy for a novel ultracapacitor-battery hybrid power-split gear powertrain

2013 ◽  
Author(s):  
Serkan Dusmez ◽  
Alireza Khaligh
Keyword(s):  
Wavelet Transform ◽  
Hybrid Power ◽  
Power Split ◽  
Power Decoupling

Control optimization of a compound power-split hybrid power system for commercial vehicles

2021 ◽  
pp. 095440702199363
Author(s):  
Qing Li ◽  
Zhendong Zhang ◽  
Tong Zhang ◽  
Han Guo
Keyword(s):  
Power System ◽  
Fuel Consumption ◽  
Control Strategies ◽  
Optimal System ◽  
System Efficiency ◽  
Commercial Vehicles ◽  
Hybrid Mode ◽  
Hybrid Power ◽  
Power Split ◽  
Efficiency Control

In this paper, based on two planetary gear sets, a novel compound power-split hybrid power system for commercial vehicles is presented. Firstly, mathematical models of the system dynamic torque control and the system efficiency are established by using an equivalent lever diagram and analyzing the power flow respectively. Then the system operating modes which are divided into two pure electric modes and one hybrid mode and corresponding control strategies are analyzed by the combined lever diagrams. Finally, control strategies in different modes to looking for the optimal system efficiencies are designed and validated by the bench test. In order to prolong its service life, the battery is charged with small power in the hybrid mode. The design and test results indicate that the optimal system efficiency control strategies are reasonable and reliable. The maximum value of the optimal system efficiency can reach about 0.92 in the pure electric mode, and 0.39 in the hybrid mode. And the proportion of the engine operating points with the brake specific fuel consumption (BSFC) lower than 215 g/kWh is 81%. The co-simulation results show that the maximum system efficiency can achieve 14.9% fuel consumption per 100 km drop compared with the minimum system efficiency for an 80 km/h constant speed condition, which indicates that the optimal system efficiency control strategy can greatly improve the vehicle fuel economy. This study can offer a research direction for energy management of hybrid power systems.

scholarly journals Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Y. D. Song ◽  
Qian Cao ◽  
Xiaoqiang Du ◽  
Hamid Reza Karimi
Keyword(s):  
Neural Network ◽  
Wavelet Transform ◽  
Energy Management ◽  
Hybrid System ◽  
Control Strategy ◽  
Lithium Ion ◽  
Software Environment ◽  
Super Capacitor ◽  
Hybrid Power ◽  
Dc Bus

This paper deals with an energy management of a hybrid power generation system. The proposed control strategy for the energy management is based on the combination of wavelet transform and neural network arithmetic. The hybrid system in this paper consists of an emulated wind turbine generator, PV panels, DC and AC loads, lithium ion battery, and super capacitor, which are all connected on a DC bus with unified DC voltage. The control strategy is responsible for compensating the difference between the generated power from the wind and solar generators and the demanded power by the loads. Wavelet transform decomposes the power difference into smoothed component and fast fluctuated component. In consideration of battery protection, the neural network is introduced to calculate the reference power of battery. Super capacitor (SC) is controlled to regulate the DC bus voltage. The model of the hybrid system is developed in detail under Matlab/Simulink software environment.

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