Control in Multi-Motor Electric Vehicle with a FPGA platform

Castro, Ricardo de; Araújo, Rui Esteves; Oliveira, Hugo S.

doi:10.1109/sies.2009.5196218

Cited by 17 publications

(6 citation statements)

References 7 publications

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“…This such system allegiance to control various parameters of speed to make it easier to turn the vehicle and accelerate the speed with precision the control system is used in EV's as block diagram given below. [21] In this paper researcher calculated power rating, gear ratio, Rated Speed (rpm) Maximum Speed, by using MATLAB simulation for all types' motor this information can be used for this review paper as a comparing purpose and to get better visualization The motors information picked is for the financially accessible tests of these motors. Plainly, increasingly explicit engines can be intended for vehicle applications, yet such data is not available for this study.…”

Section: Resultsmentioning

confidence: 99%

“…[13] PM brushless motors are most capable of competing with IMs for electric propulsion. [21]These motors have many numerous merits, indeed 1) the total mass, weight, and volume have significantly deteriorated for a given wheel power (high power density); 2) higher efficiency, and 3) heat is efficiently throughout to the atmosphere with effective rate. [12] Fig.…”

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confidence: 99%

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A Comparative Analysis of Power Consumption in Conventional and Differential – Less Drive for Electric Vehicle

Dhulekar¹,

Ardak²

2021

Preprint

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The general design of the methodology of the transmission system is usually used to give efficient power to the driven wheel, such as usually used differential to differentiate speed and motion of the wheel. In this paper; we analyze methods of motion control and power transmission variation for an electric vehicle (EV) with two independently driven in-wheel motors and conventional differential used EV. Compares the power transmission ratio of two different configurations drives energy conversion differential and epicyclic gears train analysis. This investigation gives an orderly examination of compendium an electrical vehicle is driven by transmissions system journals published and about different losses through mechanical differential system transmission and how they affect on torque. These studies present a comprehensive convergent study report of power Variation and torque transmission with simulation result distinction in differential and differential-less EV’s by compendium studies and show some comparative results. After a compendium study author finds few losses in differentials such as Pocketing power losses, WPL, drag mishap, friction, and different slip in gears. We have mention different factors also affect drive trains and illustrate the main reason to generate losses during transmission. In addition, we have explained this through simulation.

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Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

A Comparative Analysis of Power Consumption in Conventional and Differential – Less Drive for Electric Vehicle

Dhulekar¹,

Ardak²

2021

Preprint

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“…Further bibliographic review and study of fault-tolerant diagnosis and control systems for multi-motor electric vehicles can be found in [18]. The implementation of the electrical vehicle drive control algorithm with torque distribution on an FPGA platform is described in [19]. In Reference [20], a new type of braking power distribution for distribution-driven electrical vehicles is introduced.…”

Section: Multi-motor Systems In Electrical Vehiclesmentioning

confidence: 99%

A Survey of Fuzzy Algorithms Used in Multi-Motor Systems Control

et al. 2020

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Multi-motor systems are strong coupled multiple-input–multiple-output systems. The main objective in multi-motor drive control is to achieve synchronized operation of all motors in the system. In this paper, multi-motor systems are classified in accordance with their control demands. This paper also provides a systematic categorization of multi-motor synchronization techniques. The review of recent research literature indicates that fuzzy algorithms are widely used in multi-motor control. Finally, in this paper, a review of fuzzy logic controllers and their functionalities in multi-motor control is given.

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“…Inspired by the vector control signal processing blockset for use with MatlabSimulink (Araujo & Freitas, 1998), in recent years our team developed a set of Intellectual Properties (IP) cores, targeting the advanced and efficient powertrain control of EV's with multiple motors (Araujo et al, 2009;de Castro et al, 2010a;b;2009a;b). This IP core library, whose main components are depicted in Fig.…”

Section: Overview Of the Powertrain Ip Core Librarymentioning

confidence: 99%