Energy Saving Driving Method for Freight Railway Considering Running Resistance and Motor Efficiency

2022 ◽  
Vol 142 (1) ◽  
pp. 50-57
Author(s):  
Tomoyuki Ogawa
Keyword(s):  
Energy Saving ◽  
Motor Efficiency

scholarly journals Energy saving control based on motor efficiency map for electric vehicleswith four-wheel independently driven in-wheel motors

2018 ◽  
Vol 10 (8) ◽  
pp. 168781401879306 ◽  
Author(s):  
Li Gang ◽  
Yang Zhi
Keyword(s):  
Energy Saving ◽  
Electric Vehicles ◽  
Control Method ◽  
Regenerative Braking ◽  
Motor Efficiency ◽  
Wheel Drive ◽  
Braking Torque ◽  
Braking Control ◽  
Efficiency Map ◽  
Energy Saving Control

For four-wheel independently driven in-wheel motor electric vehicles, the four-wheel drive/braking torque can be controlled independently. Therefore, it has an advantage that energy saving control can be applied effectively. This article studies several energy saving control methods from two levels of driving and braking for four-wheel independently driven in-wheel motor electric vehicles under urban conditions based on the motor efficiency map. First, the energy saving control logic and the evaluation index were proposed in the article. The four-wheel drive torque was online optimized in real time through drive energy saving control, in order to improve the driving efficiency in the driving process of electric vehicles. According to the theory of ideal braking force distribution and Economic Commission of Europe braking regulations, the parallel regenerative braking control method based on the motor efficiency map was then studied. The parallel regenerative braking control method was applied to four-wheel independently driven in-wheel motor electric vehicles. The simulation analysis under typical urban driving cycle conditions was carried out to determine the braking intensity of the parallel brake front axle separate regenerative braking, and finally the braking energy recovery rate of electric vehicle can be improved in the low speed and low braking torque. Finally, simulation experiments have been carried out to verify the researched method under the NEDC, UDDS, and J1015 urban driving cycles. The simulation results show that the energy saving control methods have an obvious effect on energy saving under the urban driving cycle conditions.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document