scholarly journals Performance of a Nonlinear Real-Time Optimal Control System for HEVs/PHEVs during Car Following

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Kaijiang Yu ◽  
Junqi Yang
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Time Optimal Control ◽  
Management Problem ◽  
Control Approach ◽  
Car Following ◽  
Time Optimal ◽  
Optimal Control Approach

This paper presents a real-time optimal control approach for the energy management problem of hybrid electric vehicles (HEVs) and plug-in hybrid electric vehicles (PHEVs) with slope information during car following. The new features of this study are as follows. First, the proposed method can optimize the engine operating points and the driving profile simultaneously. Second, the proposed method gives the freedom of vehicle spacing between the preceding vehicle and the host vehicle. Third, using the HEV/PHEV property, the desired battery state of charge is designed according to the road slopes for better recuperation of free braking energy. Fourth, all of the vehicle operating modes engine charge, electric vehicle, motor assist and electric continuously variable transmission, and regenerative braking, can be realized using the proposed real-time optimal control approach. Computer simulation results are shown among the nonlinear real-time optimal control approach and the ADVISOR rule-based approach. The conclusion is that the nonlinear real-time optimal control approach is effective for the energy management problem of the HEV/PHEV system during car following.

scholarly journals Design and Validation of Real-Time Optimal Control with ECMS to Minimize Energy Consumption for Parallel Hybrid Electric Vehicles

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Aiyun Gao ◽  
Xiaozhong Deng ◽  
Mingzhu Zhang ◽  
Zhumu Fu
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
Time Optimal Control ◽  
Parallel Hybrid ◽  
Equivalent Fuel ◽  
Time Optimal ◽  
Equivalent Factor ◽  
Equivalent Fuel Consumption

A real-time optimal control of parallel hybrid electric vehicles (PHEVs) with the equivalent consumption minimization strategy (ECMS) is presented in this paper, whose purpose is to achieve the total equivalent fuel consumption minimization and to maintain the battery state of charge (SOC) within its operation range at all times simultaneously. Vehicle and assembly models of PHEVs are established, which provide the foundation for the following calculations. The ECMS is described in detail, in which an instantaneous cost function including the fuel energy and the electrical energy is proposed, whose emphasis is the computation of the equivalent factor. The real-time optimal control strategy is designed through regarding the minimum of the total equivalent fuel consumption as the control objective and the torque split factor as the control variable. The validation of the control strategy proposed is demonstrated both in the MATLAB/Simulink/Advisor environment and under actual transportation conditions by comparing the fuel economy, the charge sustainability, and parts performance with other three control strategies under different driving cycles including standard, actual, and real-time road conditions. Through numerical simulations and real vehicle tests, the accuracy of the approach used for the evaluation of the equivalent factor is confirmed, and the potential of the proposed control strategy in terms of fuel economy and keeping the deviations ofSOCat a low level is illustrated.

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