scholarly journals Research on Establishment of Vehicle Energy Distribution Model and Energy Consumption Optimization Based on Electric Hybrid System

2021 ◽  
Vol 12 (4) ◽  
pp. 213
Author(s):  
Peng Liang ◽  
Huatuo He ◽  
Huafang Cui ◽  
Minglang Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Distribution ◽  
Working Conditions ◽  
Hybrid System ◽  
Control Strategy ◽  
Optimization Method ◽  
Distribution Model ◽  
Average Efficiency ◽  
Energy Consumption Analysis ◽  
Energy Consumption Optimization

In order to improve the adaptability and accuracy of the system average efficiency model in energy consumption analysis of working conditions, this paper presents a vehicle energy distribution model based on the layout and powertrain operation features of the electric hybrid system, and presents a vehicle energy consumption optimization method for control strategy and hardware quality optimization based on the guidance of the energy distribution model.

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.

scholarly journals Electric Power-grid Friendly Characteristic Data Center Energy Consumption Optimization Method

2021 ◽  
Vol 2095 (1) ◽  
pp. 012026
Author(s):  
Tianhang Huang ◽  
Tianyi Zhai ◽  
Xin Zhang ◽  
Xiaomeng Di
Keyword(s):  
Energy Consumption ◽  
Electric Power ◽  
Data Center ◽  
High Efficiency ◽  
Power Grid ◽  
Optimization Method ◽  
Load Demand ◽  
Characteristic Data ◽  
Electric Power Grid ◽  
Energy Consumption Optimization

Abstract With the acceleration of the digitization process, the load of the data center on the power grid continues to increase. During the operation of the data center, the load demand on the power grid is relatively large, and the load demand on the power grid fluctuates greatly. In the Power industry, the average PUE(power usage effectiveness) of data center is above 2, which is extremely unfriendly to the power grid. This paper proposes and summarizes the optimization parameters at various levels, the energy efficiency of software and hardware, and provides a method for optimization through global variables for high-efficiency and energyconsuming data centers, which can minimize cooling energy consumption and IT energy consumption. To build a electric power grid-friendly characteristic data center with high efficiency and low energy consumption.

Study on the Energy Recovery Ability of Hybrid Tractor Based on Advisor

2015 ◽  
Vol 757 ◽  
pp. 185-190
Author(s):  
Li Hao Yang ◽  
You Jun Wang ◽  
Qiu Juan Lv
Keyword(s):  
Simulation Model ◽  
Working Conditions ◽  
Hybrid System ◽  
Control Strategy ◽  
Energy Recovery ◽  
Adaptive Fuzzy Control ◽  
The Self ◽  
Secondary Development ◽  
Development Technology ◽  
Fuzzy Control Strategy

Energy recovery ability is one of the most important ability of the hybrid system. In this paper, we established a simulation model of a 10T hybrid tractor under researching in advisor by the secondary development technology. And then we carried out the simulation which provides many important curves about the energy recovery ability and some other important abilities under the working conditions of 5 peak cycle using the self-adaptive fuzzy control strategy. The results of the simulation prove that the recovery ability of the hybrid tractor satisfy the design goals well.

scholarly journals Influence of Chain Sharpness, Tension Adjustment and Type of Electric Chainsaw on Energy Consumption and Cross-Cutting Time

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1017
Author(s):  
Anton Poje ◽  
Matevž Mihelič
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Working Conditions ◽  
Electricity Consumption ◽  
Factorial Experiment ◽  
Lower Efficiency ◽  
Average Efficiency ◽  
Two Factors ◽  
Rotation Energy ◽  
Engine Power

Recently, electrical cordless chainsaws were introduced, which provide less harmful working conditions for the operators, and should therefore be deployed as much as possible in all non-professional and professional applications. The low power of the electric engines may result in lower efficiency and higher energy consumption in the case of over-tensioned chains, due to increased friction between the saw and the chain. Therefore, a partial factorial experiment with one factor on three levels (saw type) and two factors on two levels was designed, whereby a wooden beam was cross-cut at two levels of chain sharpness and tension. The time of cross-cutting and energy consumption were controlled. The chain tension does not have a significant effect onto time of cross cutting, or electricity consumption. Both have cross-cutting and energy consumption have been found to differ significantly when comparing the saws used in the experiment. The average efficiency of cross cutting using electrical chainsaws reported is 2.35 times lower than when using petrol powered saws. The lower efficiency is caused by the lower engine power of electrical saws, and lower speed of chain rotation. Energy consumption and time of cross cutting are significantly higher when using a blunt chain, with large differences in time of cross cutting and electricity consumption, making the chain sharpness the most important of all controlled factors. In the study, we did not find evidence that over tensioning of the chain increases the time of cross cutting or energy consumption, however the integration of such systems is recommended because of the worker’s safety.

Strategy of Intelligent Energy-Saving Optimization Control and Energy Consumption Analysis on Regulator Control System of Closed Greenhouse

2014 ◽  
Vol 666 ◽  
pp. 184-187
Author(s):  
Min Gyu Zhang ◽  
Guang Hua Wu ◽  
Feng Liu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Control Strategy ◽  
Energy Optimization ◽  
Saving Rate ◽  
Integration Strategy ◽  
Energy Consumption Analysis ◽  
Optimization Control ◽  
Optimizing Control ◽  
Saving Effect

Adopting the integrated TOPSIS intelligent energy optimization control strategy, and compared to conventional single control strategy on energy consumption of greenhouse equipment under closed condition, this paper arrives at the best energy saving optimization control strategy with comprehensive benefits. The result shows that, integrated intelligent optimizing control was obviously more energy saving compared to those did not take optimization control. Specific results as follows: TOPSIS integration strategy with energy saving of 725.39kwh, energy-saving rate of 44.19%.This shows that the proposed integrated intelligent energy optimization control strategy and energy saving effect is remarkable.

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