scholarly journals Research on ISFLA-Based Optimal Control Strategy for the Coordinated Charging of EV Battery Swap Station

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Xueliang Huang ◽  
Hao Qiang ◽  
Qidong Zhang ◽  
Haijuan Li
Keyword(s):  
Optimal Control ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Optimization Method ◽  
Shuffled Frog Leaping Algorithm ◽  
Optimal Control Strategy ◽  
Load Fluctuation ◽  
Shuffled Frog Leaping ◽  
Coordinated Charging ◽  
Daily Load

As an important component of the smart grid, electric vehicles (EVs) could be a good measure against energy shortages and environmental pollution. A main way of energy supply to EVs is to swap battery from the swap station. Based on the characteristics of EV battery swap station, the coordinated charging optimal control strategy is investigated to smooth the load fluctuation. Shuffled frog leaping algorithm (SFLA) is an optimization method inspired by the memetic evolution of a group of frogs when seeking food. An improved shuffled frog leaping algorithm (ISFLA) with the reflecting method to deal with the boundary constraint is proposed to obtain the solution of the optimal control strategy for coordinated charging. Based on the daily load of a certain area, the numerical simulations including the comparison of PSO and ISFLA are carried out and the results show that the presented ISFLA can effectively lower the peak-valley difference and smooth the load profile with the faster convergence rate and higher convergence precision.

Train Optimal Control Strategy on Continuous Change Gradient Steep Downgrades

2011 ◽  
Vol 267 ◽  
pp. 211-216 ◽  
Author(s):  
Peng Zhou ◽  
Hong Ze Xu ◽  
Meng Nan Zhang
Keyword(s):  
Optimal Control ◽  
Energy Consumption ◽  
Energy Saving ◽  
Control Strategy ◽  
Operation Time ◽  
Optimization Method ◽  
Continuous Change ◽  
Optimal Control Strategy ◽  
Energy Feedback ◽  
Time And Energy

Reducing the traction energy consumption plays an important role in railway energy saving. Viewed from the present research situation--the models were all based on the train without energy-feedback, moreover the line condition is the fixed steep down or steep up grades, the train group energy control strategy on continuous change gradient steep downgrades with the energy-feedback is proposed. The advantage for energy-saving of the strategy is proved through the traction calculation in theory. On that basis the optimization method is applied to get the optimal strategy balancing the operation time and energy consumption. By comparing the traditional control strategy with the optimal control strategy, the experiments show that the optimal overall target index of the operation time and energy consumption is much better.

Optimal control of a turbocharged direct injection diesel engine by direct method optimization

2018 ◽  
Vol 20 (6) ◽  
pp. 640-652 ◽  
Author(s):  
Jose Manuel Luján ◽  
Carlos Guardiola ◽  
Benjamín Pla ◽  
Alberto Reig
Keyword(s):  
Optimal Control ◽  
Fuel Consumption ◽  
Control Strategy ◽  
Fuel Efficiency ◽  
Optimization Method ◽  
Operating Conditions ◽  
Experimental Results ◽  
Pollutant Emissions ◽  
Engine Fuel ◽  
Optimal Control Strategy

This work studies the effect and performance of an optimal control strategy on engine fuel efficiency and pollutant emissions. An accurate mean value control-oriented engine model has been developed and experimental validation on a wide range of operating conditions was carried out. A direct optimization method based on Euler’s collocation scheme is used in combination with the above model in order to address the optimal control of the engine. This optimization method provides the optimal trajectories of engine controls (fueling rate, exhaust gas recirculation valve position, variable turbine geometry position and start of injection) to reproduce a predefined route (speed trajectory including variable road grade), minimizing fuel consumption with limited [Formula: see text] emissions and a low soot stamp. This optimization procedure is performed for a set of different [Formula: see text] emission limits in order to analyze the trade-off between optimal fuel consumption and minimum emissions. Optimal control strategies are validated in an engine test bench and compared against engine factory calibration. Experimental results show that significant improvements in both fuel efficiency and emissions reduction can be achieved with optimal control strategy. Fuel savings at about 4% and less than half of the factory [Formula: see text] emissions were measured in the actual engine, while soot generation was still low. Experimental results and optimal control trajectories are thoroughly analyzed, identifying the different strategies that allowed those performance improvements.

scholarly journals An optimal control strategy design for plug-in hybrid electric vehicles based on internet of vehicles

Energy ◽  
2021 ◽  
Vol 228 ◽  
pp. 120631
Author(s):  
Yuanjian Zhang ◽  
Yonggang Liu ◽  
Yanjun Huang ◽  
Zheng Chen ◽  
Guang Li ◽  
...  
Keyword(s):  
Optimal Control ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
Optimal Control Strategy ◽  
Internet Of Vehicles ◽  
Hybrid Electric ◽  
Strategy Design

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.

Sign in / Sign up

Export Citation Format

Share Document