scholarly journals Efficiency Enhancement of Traction System Based on Loss Models and Golden Section Search in Electric Vehicle

2017 ◽  
Vol 105 ◽  
pp. 2923-2928 ◽  
Author(s):  
Xiaofeng Ding ◽  
Hong Guo ◽  
Si Guo
Keyword(s):  
Electric Vehicle ◽  
Golden Section ◽  
Efficiency Enhancement ◽  
Golden Section Search ◽  
Loss Models ◽  
Traction System

Quantification of thermal energy generation in annular hyperbolic porous-finned heat sinks using inverse optimization

2021 ◽  
pp. 095440892110243
Author(s):  
Sagnik Pal ◽  
Ranjan Das
Keyword(s):  
Heat Transfer ◽  
Surface Temperature ◽  
Heat Generation ◽  
Thermal Energy ◽  
Inverse Method ◽  
Golden Section ◽  
Energy Generation ◽  
Heat Sinks ◽  
Search Technique ◽  
Golden Section Search

The present paper introduces an accurate numerical procedure to assess the internal thermal energy generation in an annular porous-finned heat sink from the sole assessment of surface temperature profile using the golden section search technique. All possible heat transfer modes and temperature dependence of all thermal parameters are accounted for in the present nonlinear model. At first, the direct problem is numerically solved using the Runge–Kutta method, whereas for predicting the prevailing heat generation within a given generalized fin domain an inverse method is used with the aid of the golden section search technique. After simplifications, the proposed scheme is credibly verified with other methodologies reported in the existing literature. Numerical predictions are performed under different levels of Gaussian noise from which accurate reconstructions are observed for measurement error up to 20%. The sensitivity study deciphers that the surface temperature field in itself is a strong function of the surface porosity, and the same is controlled through a joint trade-off among heat generation and other thermo-geometrical parameters. The present results acquired from the golden section search technique-assisted inverse method are proposed to be suitable for designing effective and robust porous fin heat sinks in order to deliver safe and enhanced heat transfer along with significant weight reduction with respect to the conventionally used systems. The present inverse estimation technique is proposed to be robust as it can be easily tailored to analyse all possible geometries manufactured from any material in a more accurate manner by taking into account all feasible heat transfer modes.

scholarly journals GOLDEN EXPONENTIAL SMOOTHING: A SELF-ADJUSTED METHOD FOR IDENTIFYING OPTIMUM ALPHA

2020 ◽  
Vol 5 (2) ◽  
pp. 587
Author(s):  
Fong Yeng Foo ◽  
Azrina Suhaimi ◽  
Soo Kum Yoke
Keyword(s):  
Golden Section ◽  
Exponential Smoothing ◽  
Series Data ◽  
Training Process ◽  
Times Series ◽  
Golden Section Search ◽  
Training Stage ◽  
Forecasting Method ◽  
Double Exponential Smoothing ◽  
Accuracy Of Prediction

The conventional double exponential smoothing is a forecasting method that troubles the forecaster with a tremendous choice of its parameter, alpha. The choice of alpha would greatly influence the accuracy of prediction. In this paper, an integrated forecasting method named Golden Exponential Smoothing (GES) was proposed to solve the problem. The conventional method was reformed and interposed with golden section search such that an optimum alpha which minimizes the errors of forecasting could be identified in the algorithm training process.  Numerical simulations of four sets of times series data were employed to test the efficiency of GES model. The findings show that the GES model was self-adjusted according to the situation and converged fast in the algorithm training process. The optimum alpha, which was identified from the algorithm training stage, demonstrated good performance in the stage of Model Testing and Usage.

scholarly journals New DTC strategy of multi-machines single-inverter systems for electric vehicle traction applications

2020 ◽  
Vol 11 (2) ◽  
pp. 641
Author(s):  
Taibi Ahmed ◽  
Hartani Kada ◽  
Allali Ahmed
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Control Structure ◽  
Synchronous Machines ◽  
Permanent Magnet Synchronous Machines ◽  
Structure Control ◽  
The Subject ◽  
Simulation Results ◽  
The Stability ◽  
Traction System

In high power traction system applications two or more machines are fed by one converter. This topology results in a light, more compact and less costly system. These systems are called multi-machines single-converter systems. The problems posed by different electrical and mechanical couplings in these systems (MMS) affect various stages of the systems and require control strategy to reduce adverse effects. Control of multi-machines single-converter systems is the subject of this paper. The studied MMS is an electric vehicle with four in-wheel PMS motors. A three-leg inverter supplies two permanent magnet synchronous machines which are connected to the front right and rear right wheels, and another inverter supplies the left side. Several methods have been proposed for the control of multi-machines single-inverter systems, the master-slave control structure seems best adapted for our traction system. In this paper, a new control structure based on DTC method is used for the control of bi-machine traction system of an EV. This new control has been implanted in simulation to analyze its robustness in the presence of the various load cases involved in our electric vehicle traction chain. Simulation results indicated that this structure control allowed the stability of the traction system.

scholarly journals A note on stochastic search methods for global optimization

1988 ◽  
Vol 20 (02) ◽  
pp. 476-478 ◽  
Author(s):  
D. P. Kennedy
Keyword(s):  
Global Optimization ◽  
Beta Distribution ◽  
Golden Section ◽  
Stochastic Search ◽  
Limiting Distribution ◽  
Search Methods ◽  
Golden Section Search

Let [An, Bn ] be random subintervals of [0, 1] defined recursively as follows. Let A 1 = 0, B 1 = 1 and take Cn , D n to be the minimum and maximum of k, i.i.d. random points uniformly distributed on [An, Bn ]. Choose [An+1, Bn+ 1] to be [Cn , Bn ], [Any Dn ] or [Cn , Dn ] with probabilities p, q, r respectively, p + q + r = 1. It is shown that the limiting distribution of [Any Bn ] has the beta distribution on [0,1] with parameters k(p + r) and k(q + r). The result is used to consider a randomized version of Golden Section search.

A Track-Based Gesture Recognition Algorithm for Kinect

2015 ◽  
Vol 738-739 ◽  
pp. 334-338 ◽  
Author(s):  
Ying Wang ◽  
Ling Zhang
Keyword(s):  
Gesture Recognition ◽  
Golden Section ◽  
Recognition Algorithm ◽  
Depth Image ◽  
Kinect Sensor ◽  
Recognition Method ◽  
Image Information ◽  
Golden Section Search ◽  
Highly Effective

This paper presents a new gesture track recognition method based on the depth image information received from the Kinect sensor. First, a Kinect sensor is used to obtain the coordinates of a moving arm. Then, the gesture tracks corresponding to these coordinates are analyzed. Matching and recognition of gesture tracks are implemented by performing golden section search. The results show that this track-based method is highly effective in gesture recognition.

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