Optimal sizing and control strategy design for heavy hybrid electric truck

2012 ◽  
Author(s):  
Dong-ge Li ◽  
Yuan Zou ◽  
Xiao-song Hu ◽  
Feng-chun Sun
Keyword(s):  
Control Strategy ◽  
Optimal Sizing ◽  
Hybrid Electric ◽  
Strategy Design ◽  
And Control

Control Strategy Design and Simulation for Plug-in Hybrid Electric Vehicle

2013 ◽  
Vol 291-294 ◽  
pp. 898-901
Author(s):  
Jun Wei Yu ◽  
Bin Wang ◽  
Yong Zhang
Keyword(s):  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Electric Energy ◽  
Simulation Models ◽  
Engine Operation ◽  
Control Rules ◽  
Hybrid Electric ◽  
Strategy Design ◽  
And Control

The plug-in hybrid electric vehicles (PHEVs) have the potential of petroleum displacement with electric energy. The dynamic model and control strategy for PHEV are designed in this paper. Simulation models of PHEV components are built based on Simulink. The control rules of energy management and engine operation model are defined to improve the fuel consumption of the PHEV. Simulation results show that the efficiency of PHEV is improved with the proposed methods.

scholarly journals Optimal Sizing and Control Strategy Design for Heavy Hybrid Electric Truck

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Yuan Zou ◽  
Dong-ge Li ◽  
Xiao-song Hu
Keyword(s):  
Control Strategy ◽  
Control Design ◽  
Bilevel Optimization ◽  
Hybrid Powertrain ◽  
Close Coupling ◽  
Optimal Sizing ◽  
Power Split ◽  
Optimization Methodology ◽  
Strategy Design ◽  
And Control

Due to the complexity of the hybrid powertrain, the control is highly involved to improve the collaborations of the different components. For the specific powertrain, the components' sizing just gives the possibility to propel the vehicle and the control will realize the function of the propulsion. Definitely the components' sizing also gives the constraints to the control design, which cause a close coupling between the sizing and control strategy design. This paper presents a parametric study focused on sizing of the powertrain components and optimization of the power split between the engine and electric motor for minimizing the fuel consumption. A framework is put forward to accomplish the optimal sizing and control design for a heavy parallel pre-AMT hybrid truck under the natural driving schedule. The iterative plant-controller combined optimization methodology is adopted to optimize the key parameters of the plant and control strategy simultaneously. A scalable powertrain model based on a bilevel optimization framework is built. Dynamic programming is applied to find the optimal control in the inner loop with a prescribed cycle. The parameters are optimized in the outer loop. The results are analysed and the optimal sizing and control strategy are achieved simultaneously.

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