Arduino Due Implementation of an Algorithm for Blind Source Separation using Matlab Simulink

,; Mekhfioui*, M.; Elgouri, R.; ,; Satif, A.; ,; Hlou, L.; ,

doi:10.35940/ijitee.b7385.129219

Cited by 5 publications

(10 citation statements)

References 5 publications

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“…While all three algorithms aim to reduce the difference between the expected and observed outputs by modifying the filter coefficients, their techniques and potency levels differ. The VFF-RLS approach has to a greater extent an advantage over the LMS algorithm [32][33][34][35][36][37][38][39][40][41]. The VFF-RLS algorithm converges quicker than the other two algorithms, making it suited to scenarios requiring rapid adaptation to changes in the input data.…”

Section: Contribution Of This Studymentioning

confidence: 99%

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FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Bukya,

Padma,

Kumar

et al. 2024

WEVJ

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As the adoption of electric vehicles (EVs) continues to rise, attention has switched to ensuring the safety of EV operations. The exponential growth in battery technology over the past several years has changed the face of energy storage and sparked a revolution in several industries. The degradation of battery insulation during regular use is a significant concern. The high voltage (HV) and current levels in HV electric vehicles pose a significant electrical threat.The advancement of electric vehicle technology has led to an increasing presence of HV electric equipment throughout the vehicle. The insulation strength and early health status detection of the batteries are essential in ensuring safety in EVs. This paper studies the different insulation detection techniques and the development of adaptive filter (AF) algorithms based on field-programmable gate arrays (FPGAs) for insulation detection. FPGAs are amongst the most accurate and fast detection techniques among all the insulation detection techniques used so far in electric vehicles. This study proposes an FPGA-based VFF-RLS algorithm for effectively implementing insulation detection in EVs. The experimental test results using FPGAs demonstrate that the proposed method can rapidly monitor changes in insulation resistance (IR). The VFFRLS-based FPGA technique works sufficiently well to reduce errors when dealing with variations in voltage and resistance conditions at the battery terminals.

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Section: Contribution Of This Studymentioning

confidence: 99%

“…The determination of the process and evaluation noise in these two algorithms is challenging, thereby restricting their use. References [27][28][29]35] introduce a method for detecting IR that addresses the issue of parameter adjustment. This method utilizes an RLS algorithm.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Bukya,

Padma,

Kumar

et al. 2024

WEVJ

View full text Add to dashboard Cite

show abstract

“…The importance of this separation method justifies the different use of platforms such as Arduino Due [1], DSP [2] and FPGA [3]- [4].The Arduino Due is an open source electronic prototyping platform based low cost on the ARM Cortex-M3 microcontroller [5].…”

Section: Source Separation Techniques Have Been Applied In Various Scientificmentioning

confidence: 99%

A Comparative Approach of Blind Source Separation with Arduino Due and TMS320C6713

Mekhfioui¹

2020

IJETER

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This paper presents a comparison between two blind source separation methods: the first one based on a microcontroller board such as Arduino Due by the RTW (Real-Time Workshop) integrated into Matlab Simulink and the second one based on a DSP board (TMS320c6713). This study compared the space occupied, the execution speed and the separation index between the two platforms Arduino and DSP. The separation was practically simulated on the Arduino Due and TMS320c6713 board by two signal generators and an oscilloscope.

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“…Therefore, when in touch with the body's chassis, each positive and negative battery terminal should have a particular resistance. In insulation detection, adaptive filtering techniques such as RLS and LMS are commonly utilized in signal processing and adaptive filtering [32,33]. While both algorithms share the goal of minimizing the discrepancy between the desired and observed outputs by manipulating filter coefficients, they differ in their approaches and degrees of efficacy.…”

Section: Introductionmentioning

confidence: 99%

Insulation Detection of Electric Vehicles by Using FPGA-Based Recursive-Least-Squares Algorithm

Bukya,

Malthesh,

Kumar

et al. 2024

WEVJ

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The principal reason for why electric vehicles are required to serve as an alternative to the more widespread gasoline and petroleum-based vehicles used in modern times is due to the use of an environmentally conscious means of transportation or to circumvent the tumultuous economic dealings of the compressed natural gas and petroleum industries. There is a growing daily need for large, high-voltage e-mobilities, mostly driven by anticipated advancements in electric vehicle technology. Consequently, all of the various components of these vehicles must be able to be accommodated within a limited and compact space. The battery is an essential component in e-mobility. The insulation, health monitoring, and problem diagnostics of lithium-ion (Li-ion) batteries are of utmost importance in ensuring these vehicles’ safety and efficient functioning. Real-time and fast insulation detection techniques are required to ensure safety in high-voltage (HV) vehicles and to avoid insulation failure. This paper used the Recursive-Least-Squares (RLS) algorithm because it is computationally efficient for building the insulation detection system. Based on the RLS technique, we proposed field programmable gate array (FPGA)-based algorithms and implemented them using VHDL coding. The FPGA is very fast at detection, and the error is lower. We validated the FPGA results with MATLAB simulation results from the existing literature, and the errors are much less when using FPGAs. An experimental hardware platform was also created to validate the proposed FPGA technique with various motor and resistive loadings on electric vehicles (EVs).

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Arduino Due Implementation of an Algorithm for Blind Source Separation using Matlab Simulink

Cited by 5 publications

References 5 publications

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

A Comparative Approach of Blind Source Separation with Arduino Due and TMS320C6713

Insulation Detection of Electric Vehicles by Using FPGA-Based Recursive-Least-Squares Algorithm

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