Battery Voltage Limit Analysis with Support Vector Machine and Fuzzy Logic

Abstract

The efficiency and the range of modern electric vehicles are crucial points in their design. Designers and engineers are highly motivated to find solutions to these problems, or, as a rule, to improve existing electrical systems. Considerable number of modern batteries is available for use in electric vehicles and robots. The authors will propose new technology and new methods to use batteries with better efficiency. The authors propose to use the Support Vector Machine and Fuzzy logic in a new approach, which is the battery technical status management. The results show that it is possible to use these two methods simultaneously and they can ensure better results at the operation site.

Research Progress on Data-Driven Methods for Battery States Estimation of Electric Buses

“…Compared with ANN methods, the SVM model has higher accuracy and shorter computational time, with a maximum error of 5% in battery states estimation. Some researchers have also used a combination of SVM and other methods to estimate battery states [61][62][63][64][65].…”

Kinematical simulation methods for Stewart Platform in medical equipments

“…The article is based on studies and experiences, from previous works from material handling science and MATLAB ® simulations [1][2][3][4]. The motivation of the authors is to fi nd an ideal method for Stewart Platform simulation design which can give a better accuracy for the patient holding system and it can give a better design solution for a high accuracy Stewart Platforms.…”