Comparison Study on Two Energy Control Strategies of Plug-In Hybrid Electric Vehicle

2011 ◽  
Vol 474-476 ◽  
pp. 1583-1586
Author(s):  
Qing Sheng Shi ◽  
Xiao Ping Zhang ◽  
Lan Wu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Control Strategies ◽  
Energy Control ◽  
Simulation Experiments ◽  
Engine Efficiency ◽  
Efficiency Control ◽  
Hybrid Electric ◽  
Vehicle Platform

It is of great importance to manage the energy split of plug-in hybrid electric vehicle during the driving process.In this paper, principle of energy control in plug-in hybrid electric vehicle was first presented. And then, two energy control strategies, including fuel control strategy and engine efficiency control strategy, were analyzed, respectively. Finally, comparision simulation experiments were carried on electric vehicle platform ADVISOR software. Simulation results show that, using fuel control strategy can get a better economy performance but worse engine efficiency; while using engine efficiency control strategy can get a better engine efficiency but higher fuel consumption.

scholarly journals Energy Control Strategy for Parallel Hybrid Electric Vehicle Based on Terminal Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Haitao Yan ◽  
Yongzhi Xu
Keyword(s):  
Neural Network ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Energy Control ◽  
Time Performance ◽  
Equivalent Fuel ◽  
Hybrid Electric ◽  
Equivalent Fuel Consumption

Energy control strategy is a key technology of hybrid electric vehicle, and its control effect directly affects the overall performance of the vehicle. The current control strategy has some shortcomings such as poor adaptability and poor real-time performance. Therefore, a transient energy control strategy based on terminal neural network is proposed. Firstly, based on the definition of instantaneous control strategy, the equivalent fuel consumption of power battery was calculated, and the objective function of the minimum instantaneous equivalent fuel consumption control strategy was established. Then, for solving the time-varying nonlinear equations used to control the torque output, a terminal recursive neural network calculation method using BARRIER functions is designed. The convergence characteristic is analyzed according to the activation function graph, and then the stability of the model is analyzed and the time efficiency of the error converging to zero is deduced. Using ADVISOR software, the hybrid power system model is simulated under two typical operating conditions. Simulation results show that the hybrid electric vehicle using the proposed instantaneous energy control strategy can not only ensure fuel economy but also shorten the control reaction time and effectively improve the real-time performance.

scholarly journals RETRACTED: Energy control strategy of plug-in hybrid electric vehicle based on pattern recognition

2017 ◽  
Vol 9 (3) ◽  
pp. 168781401769504 ◽  
Author(s):  
Dapai Shi ◽  
Liang Chu ◽  
Jianhua Guo ◽  
Zhanzhong Wang ◽  
Ruijun Liu
Keyword(s):  
Pattern Recognition ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Energy Control ◽  
Hybrid Electric
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