A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures

2013 ◽  
Author(s):  
Shuaiwen Song ◽  
Chunyi Su ◽  
Barry Rountree ◽  
Kirk W. Cameron
Keyword(s):  
Power Performance ◽  
Accurate Model ◽  
Gpu Architectures

Comparison of the Power Performance Characteristics of the 15 kW Converter-fed Inductor and Asynchronous Electric Drives

2017 ◽  
pp. 44-47
Author(s):  
Serguei Aleksandrovich PAKHOMIN ◽  
◽  
Dmitrii Viktorovich KRAINOV ◽  
Fedor Aleksandrovich REDNOV ◽  
Vladinir Leonidovich KOLOMEITSEV ◽  
...  
Keyword(s):  
Performance Characteristics ◽  
Power Performance ◽  
Electric Drives

An Octree-based, Cartesian CFD Solver for Helios on CPU and GPU Architectures.

2021 ◽  
Author(s):  
Dylan Jude ◽  
Jay Sitaraman ◽  
Andrew M. Wissink
Keyword(s):  
Gpu Architectures

Power Test System Development and Dynamic Performance State Estimation Based on Hub Motor Vehicle

2020 ◽  
Vol 13 (2) ◽  
pp. 126-140
Author(s):  
Jing Gan ◽  
Xiaobin Fan ◽  
Zeng Song ◽  
Mingyue Zhang ◽  
Bin Zhao
Keyword(s):  
Real Time ◽  
Dynamic Performance ◽  
Test System ◽  
Operating Conditions ◽  
Motor Vehicles ◽  
Maximum Speed ◽  
Performance Parameters ◽  
Power Performance ◽  
Power Test ◽  
The Real

Background: The power performance of an electric vehicle is the basic parameter. Traditional test equipment, such as the expensive chassis dynamometer, not only increases the cost of testing but also makes it impossible to measure all the performance parameters of an electric vehicle. Objective: A set of convenient, efficient and sensitive power measurement system for electric vehicles is developed to obtain the real-time power changes of hub-motor vehicles under various operating conditions, and the dynamic performance parameters of hub-motor vehicles are obtained through the system. Methods: Firstly, a set of on-board power test system is developed by using virtual instrument (Lab- VIEW). This test system can obtain the power changes of hub-motor vehicles under various operating conditions in real-time and save data in real-time. Then, the driving resistance of hub-motor vehicles is analyzed, and the power performance of hub-motor vehicles is studied in depth. The power testing system is proposed to test the input power of both ends of the driving motor, and the chassis dynamometer is combined to test so that the output efficiency of the driving motor can be easily obtained without disassembly. Finally, this method is used to carry out the road test and obtain the vehicle dynamic performance parameters. Results: The real-time current, voltage and power, maximum power, acceleration time and maximum speed of the vehicle can be obtained accurately by using the power test system in the real road experiment. Conclusion: The maximum power required by the two motors reaches about 9KW, and it takes about 20 seconds to reach the maximum speed. The total power required to maintain the maximum speed is about 7.8kw, and the maximum speed is 62km/h. In this article, various patents have been discussed.

scholarly journals Your Brain Is Not an Onion With a Tiny Reptile Inside

2020 ◽  
Vol 29 (3) ◽  
pp. 255-260
Author(s):  
Joseph Cesario ◽  
David J. Johnson ◽  
Heather L. Eisthen
Keyword(s):  
Nervous System ◽  
Behavioral Flexibility ◽  
Brain Structures ◽  
Introductory Psychology ◽  
Complex Structures ◽  
Accurate Model ◽  
Nervous System Evolution ◽  
Neural Evolution ◽  
Human Brains ◽  
Unanimous Agreement

A widespread misconception in much of psychology is that (a) as vertebrate animals evolved, “newer” brain structures were added over existing “older” brain structures, and (b) these newer, more complex structures endowed animals with newer and more complex psychological functions, behavioral flexibility, and language. This belief, although widely shared in introductory psychology textbooks, has long been discredited among neurobiologists and stands in contrast to the clear and unanimous agreement on these issues among those studying nervous-system evolution. We bring psychologists up to date on this issue by describing the more accurate model of neural evolution, and we provide examples of how this inaccurate view may have impeded progress in psychology. We urge psychologists to abandon this mistaken view of human brains.

Sign in / Sign up

Export Citation Format

Share Document