The instantaneous optimal control strategy of parallel hybrid loader

2012 ◽  
Author(s):  
Xiaohua Zeng ◽  
Ge Bai ◽  
Mingchen Guo ◽  
Jinxin Wang ◽  
Zhenping Zhou
Keyword(s):  
Optimal Control ◽  
Control Strategy ◽  
Optimal Control Strategy ◽  
Parallel Hybrid ◽  
Instantaneous Optimal Control

The Instantaneous Optimal Control Strategy of Parallel Hybrid Loader

2013 ◽  
Vol 380-384 ◽  
pp. 467-471
Author(s):  
Xiao Hua Zeng ◽  
Ge Bai ◽  
Jin Xin Wang ◽  
Zhen Ping Zhou
Keyword(s):  
Optimal Control ◽  
Fuel Consumption ◽  
Control Strategy ◽  
Optimal Allocation ◽  
Electric Energy ◽  
Target Function ◽  
Optimal Control Strategy ◽  
Motor Torque ◽  
Parallel Hybrid ◽  
Instantaneous Optimal Control

In this paper, the instantaneous optimal control strategy of parallel hybrid loader is presented. The aim is to achieve the real time optimal allocation of internal combustion engine (ICE) torque and motor torque in any driving cycle for loader. Thus, all combinations of the ICE torque and the motor torque is determined in any demand torque. Then integrated instantaneous fuel consumption (IIFC) is calculated as a target function, by establishing the equivalent relationship between the electric energy consumption of battery and the fuel consumption, which is converted to the electric energy. When the minimum integrated instantaneous fuel consumption is found, the instantaneous optimal allocation of ICE torque and the motor torque is achieved. Finally in order to verify the functionality of the control strategy, the vehicle and the control algorithm co-simulation model is built on AMESim and Matlab/Simulink platforms. The simulation results show that the strategy is able to improve the fuel economy by more than 10% while ensuring the vehicle power performance.

scholarly journals Optimal Energy Control Strategy Design for a Hybrid Electric Vehicle

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Yuan Zou ◽  
Hou Shi-jie ◽  
Li Dong-ge ◽  
Gao Wei ◽  
Xiao-song Hu
Keyword(s):  
Optimal Control ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Heavy Duty ◽  
Dynamic Features ◽  
Optimal Control Strategy ◽  
Energy Control ◽  
Optimal Energy ◽  
Parallel Hybrid ◽  
Hybrid Electric

A heavy-duty parallel hybrid electric truck is modeled, and its optimal energy control is studied in this paper. The fundamental architecture of the parallel hybrid electric truck is modeled feed-forwardly, together with necessary dynamic features of subsystem or components. Dynamic programming (DP) technique is adopted to find the optimal control strategy including the gear-shifting sequence and the power split between the engine and the motor subject to a battery SOC-sustaining constraint. Improved control rules are extracted from the DP-based control solution, forming near-optimal control strategies. Simulation results demonstrate that a significant improvement on the fuel economy can be achieved in the heavy-duty vehicle cycle from the natural driving statistics.

scholarly journals Optimal Control Strategy for Parallel Plug-In Hybrid Electric Vehicles Based on Dynamic Programming

2021 ◽  
Vol 12 (2) ◽  
pp. 85
Author(s):  
Ying Tian ◽  
Jiaqi Liu ◽  
Qiangqiang Yao ◽  
Kai Liu
Keyword(s):  
Optimal Control ◽  
Dynamic Programming ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
Dynamic Programming Algorithm ◽  
Programming Algorithm ◽  
Optimal Control Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric

In this paper, the dynamic programming algorithm is applied to the control strategy design of parallel hybrid electric vehicles. Based on MATLAB/Simulink software, the key component model and controller model of the parallel hybrid system are established, and an offline simulation platform is built. Based on the platform, the global optimal control strategy based on the dynamic programming algorithm is studied. The torque distribution rules and shifting rules are analyzed, and the optimal control strategy is adopted to design the control strategy, which effectively improves the fuel economy of plug-in hybrid electric vehicles. The fuel consumption rate of this parallel hybrid electric vehicle is based on china city bus cycle (CCBC) condition.

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