Electrical Vehicles Insulation Detection Using Virtex 7 FPGA

Bukya, Mahipal; Kumar, Rajesh; Mathur, Akhilesh

doi:10.1007/978-981-99-2602-2_57

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…The electrode location [12,15,16] is where the battery pack is most likely to experience the highest leakage current. The insulation resistance between the electrodes and the chassis is crucial for determining the insulation effectiveness of the battery system.…”

Section: Design Methodologymentioning

confidence: 99%

“…However, the available insulation detection techniques for EV insulation resistance, including comprehensive detection and fault location, are inadequate for meeting the growing demands for EV insulation detection. The large-scale power battery module poses a significant risk to the safety system, particularly the insulation [15][16][17]. As a result, accurate and fast monitoring of faults in insulation is crucial to the secure functioning of the system.…”

Section: Introductionmentioning

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: Design Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Bukya,

Padma,

Kumar

et al. 2024

WEVJ

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A Novel Method to Detect the Faults in an Underground Cable Using Robot

Palati,

Bukya,

Kumar

et al. 2024

Communications in Computer and Information Science

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Thermo-electric modeling and analysis of lithium-ion battery pack for E-mobility

Bukya,

Kumar,

Mathur

et al. 2024

Int J Interact Des Manuf

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Electric Vehicles (EVs) have emerged as a viable and environmentally sustainable alternative to traditional internal combustion vehicles by utilizing a clean energy source. The advancement and expansion of electric cars rely on the progress of electrochemical batteries. The utilization of Lithium-Ion Batteries is widespread primarily because of its notable energy density. Changes influence the performance of these batteries in temperature. The Thermal Management System of the battery is one of the very important systems in EVs to improve the performance and life of the battery. The geometrical spacing of the cell modules is considered identical for a more accurate comparison of temperature distribution. For better cooling and heat dissipation, the battery pack’s two sides are kept entirely open to facilitate the inflow of air. In this work, active BTMS solutions are selected and analyzed using the development of three-dimensional free, open-source OpenFOAM computational fluid dynamics simulations for accurate thermal modeling and hotspot zones in cylindrical battery packs. The outcome of the simulations is compared using parameters like temperature distribution in battery cells, battery modules, and heat generation. Among all the cell temperature zones, the temperature maximum is near the sixth cell of the module depth. OpenFOAM results validated with the existing literature’s experimental and Ansys results. Air cooling is utilized for cooling performance because of its relatively simple structure and lightweight.

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Electrical Vehicles Insulation Detection Using Virtex 7 FPGA

Cited by 3 publications

References 13 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 Novel Method to Detect the Faults in an Underground Cable Using Robot

Thermo-electric modeling and analysis of lithium-ion battery pack for E-mobility

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