Research on Energy-Saving Driving for Transport Vehicles Considering Actual Load

2021 ◽  
pp. 509-521
Author(s):  
Chunming Li ◽  
Tao Zhang ◽  
Xiaoxia Sun ◽  
Chunming Shao ◽  
Guozhu Wang
Keyword(s):  
Energy Saving ◽  
Actual Load

Dynamics Study of a Dynamic Balancing Linkage with Small Fluctuations in Load

2011 ◽  
Vol 86 ◽  
pp. 176-179
Author(s):  
Tao Ren ◽  
Wen Tao Qu ◽  
Wen Sun
Keyword(s):  
Energy Saving ◽  
Input Power ◽  
Dynamic Balancing ◽  
Lower Efficiency ◽  
Motor Efficiency ◽  
Actual Load ◽  
High System ◽  
System Energy ◽  
Dynamics Models ◽  
Linkage Model

The fluctuations of the net crank torque on crankshaft remain the main reasons of both higher motor input power and lower efficiency. The later results in high system energy cost. The paper presents a novel linkage model based on rocking-bar linkage. The linkage demonstrates a smaller fluctuation in net crank torque. Therefore the motor efficiency is improved and input power is reduced greatly. The new model enhances the system energy saving. By establishing the linkage dynamics models, analyses contrasting the effects of energy saving were performed under the actual load conditions.

Research on Evaluating Methods of Automobile Energy-Saving for Management Technology

2013 ◽  
Vol 376 ◽  
pp. 489-493
Author(s):  
Xiao Li ◽  
Li Liu ◽  
Zhong Xiang Li
Keyword(s):  
Energy Saving ◽  
Evaluation Method ◽  
Loading Rate ◽  
Curve Fit ◽  
Load Rate ◽  
Management Technology ◽  
Actual Load ◽  
Relation Model ◽  
Energy Saving Technology ◽  
Evaluating Methods

Relative to other types of energy-saving technology, there is no standard evaluation method for the management kind. The paper summarizes the principle of management energy-saving technology, and regards the actual load rate as evaluation index. The curve fit of statistic data is conducted by regression analysis, and the relation model between actual loading rate and unit consumption is established based on the fitted curves. This model can be used for the evaluation of automobile energy-saving for Management technology.

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

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