Electrical Vehicles Insulation Detection Using Virtex 7 FPGA

Mahipal Bukya; Rajesh Kumar; Akhilesh Mathur

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

Electrical Vehicles Insulation Detection Using Virtex 7 FPGA

Mahipal Bukya^*
, Rajesh Kumar
, Akhilesh Mathur

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

In recent years, a significant development in electric vehicles has been increasing, and new features have been added to recent vehicles, so the overall energy demands and voltage levels are rising. High voltage and current levels are dangerous enough in high-voltage electric vehicles to constitute an electrical hazard. Insulation plays a vital role in protection from electrical hazards. For this reason, the detection of insulation health is very important. Vehicle safety is a critical design consideration for all vehicles on public streets or highways. The voltages of the power supply on electric vehicles are higher than the level that a human body can endure. This paper discusses different insulation detection techniques, Artificial Intelligence (AI) concepts for battery safety, and safety issues associated with high-voltage power supply in electric vehicles. Considering the high voltage, the chances of insulation failures are more. Fast detection techniques are required to avoid insulation failure conditions. Field Programmable Gate Array (FPGA), Virtex 7 is advanced and quick in obtaining results compared to other processors. This paper used the Virtex 7 FPGA to process the developed algorithm and simulated the results in Vivado software.

Original language	English
Title of host publication	Innovations in Computational Intelligence and Computer Vision - Proceedings of ICICV 2022
Editors	Satyabrata Roy, Deepak Sinwar, Nilanjan Dey, Thinagaran Perumal, João Manuel R.S. Tavares
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	747-756
Number of pages	10
ISBN (Print)	9789819926015
DOIs	https://doi.org/10.1007/978-981-99-2602-2_57
Publication status	Published - 2023
Event	3rd International Conference on Innovations in Computational Intelligence and Computer Vision, ICICV 2022 - Jaipur, India Duration: 24-11-2022 → 25-11-2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	680 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	3rd International Conference on Innovations in Computational Intelligence and Computer Vision, ICICV 2022
Country/Territory	India
City	Jaipur
Period	24-11-22 → 25-11-22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

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

Cite this

Bukya, M., Kumar, R., & Mathur, A. (2023). Electrical Vehicles Insulation Detection Using Virtex 7 FPGA. In S. Roy, D. Sinwar, N. Dey, T. Perumal, & J. M. R. S. Tavares (Eds.), Innovations in Computational Intelligence and Computer Vision - Proceedings of ICICV 2022 (pp. 747-756). (Lecture Notes in Networks and Systems; Vol. 680 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-2602-2_57

Bukya, Mahipal ; Kumar, Rajesh ; Mathur, Akhilesh. / Electrical Vehicles Insulation Detection Using Virtex 7 FPGA. Innovations in Computational Intelligence and Computer Vision - Proceedings of ICICV 2022. editor / Satyabrata Roy ; Deepak Sinwar ; Nilanjan Dey ; Thinagaran Perumal ; João Manuel R.S. Tavares. Springer Science and Business Media Deutschland GmbH, 2023. pp. 747-756 (Lecture Notes in Networks and Systems).

@inproceedings{a3ea99fb16c845e6be1cfdf984d8b583,

title = "Electrical Vehicles Insulation Detection Using Virtex 7 FPGA",

abstract = "In recent years, a significant development in electric vehicles has been increasing, and new features have been added to recent vehicles, so the overall energy demands and voltage levels are rising. High voltage and current levels are dangerous enough in high-voltage electric vehicles to constitute an electrical hazard. Insulation plays a vital role in protection from electrical hazards. For this reason, the detection of insulation health is very important. Vehicle safety is a critical design consideration for all vehicles on public streets or highways. The voltages of the power supply on electric vehicles are higher than the level that a human body can endure. This paper discusses different insulation detection techniques, Artificial Intelligence (AI) concepts for battery safety, and safety issues associated with high-voltage power supply in electric vehicles. Considering the high voltage, the chances of insulation failures are more. Fast detection techniques are required to avoid insulation failure conditions. Field Programmable Gate Array (FPGA), Virtex 7 is advanced and quick in obtaining results compared to other processors. This paper used the Virtex 7 FPGA to process the developed algorithm and simulated the results in Vivado software.",

author = "Mahipal Bukya and Rajesh Kumar and Akhilesh Mathur",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.; 3rd International Conference on Innovations in Computational Intelligence and Computer Vision, ICICV 2022 ; Conference date: 24-11-2022 Through 25-11-2022",

year = "2023",

doi = "10.1007/978-981-99-2602-2\_57",

language = "English",

isbn = "9789819926015",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "747--756",

editor = "Satyabrata Roy and Deepak Sinwar and Nilanjan Dey and Thinagaran Perumal and Tavares, \{Jo{\~a}o Manuel R.S.\}",

booktitle = "Innovations in Computational Intelligence and Computer Vision - Proceedings of ICICV 2022",

address = "Germany",

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Bukya, M, Kumar, R & Mathur, A 2023, Electrical Vehicles Insulation Detection Using Virtex 7 FPGA. in S Roy, D Sinwar, N Dey, T Perumal & JMRS Tavares (eds), Innovations in Computational Intelligence and Computer Vision - Proceedings of ICICV 2022. Lecture Notes in Networks and Systems, vol. 680 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 747-756, 3rd International Conference on Innovations in Computational Intelligence and Computer Vision, ICICV 2022, Jaipur, India, 24-11-22. https://doi.org/10.1007/978-981-99-2602-2_57

Electrical Vehicles Insulation Detection Using Virtex 7 FPGA. / Bukya, Mahipal; Kumar, Rajesh; Mathur, Akhilesh.
Innovations in Computational Intelligence and Computer Vision - Proceedings of ICICV 2022. ed. / Satyabrata Roy; Deepak Sinwar; Nilanjan Dey; Thinagaran Perumal; João Manuel R.S. Tavares. Springer Science and Business Media Deutschland GmbH, 2023. p. 747-756 (Lecture Notes in Networks and Systems; Vol. 680 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Electrical Vehicles Insulation Detection Using Virtex 7 FPGA

AU - Bukya, Mahipal

AU - Kumar, Rajesh

AU - Mathur, Akhilesh

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

PY - 2023

Y1 - 2023

N2 - In recent years, a significant development in electric vehicles has been increasing, and new features have been added to recent vehicles, so the overall energy demands and voltage levels are rising. High voltage and current levels are dangerous enough in high-voltage electric vehicles to constitute an electrical hazard. Insulation plays a vital role in protection from electrical hazards. For this reason, the detection of insulation health is very important. Vehicle safety is a critical design consideration for all vehicles on public streets or highways. The voltages of the power supply on electric vehicles are higher than the level that a human body can endure. This paper discusses different insulation detection techniques, Artificial Intelligence (AI) concepts for battery safety, and safety issues associated with high-voltage power supply in electric vehicles. Considering the high voltage, the chances of insulation failures are more. Fast detection techniques are required to avoid insulation failure conditions. Field Programmable Gate Array (FPGA), Virtex 7 is advanced and quick in obtaining results compared to other processors. This paper used the Virtex 7 FPGA to process the developed algorithm and simulated the results in Vivado software.

AB - In recent years, a significant development in electric vehicles has been increasing, and new features have been added to recent vehicles, so the overall energy demands and voltage levels are rising. High voltage and current levels are dangerous enough in high-voltage electric vehicles to constitute an electrical hazard. Insulation plays a vital role in protection from electrical hazards. For this reason, the detection of insulation health is very important. Vehicle safety is a critical design consideration for all vehicles on public streets or highways. The voltages of the power supply on electric vehicles are higher than the level that a human body can endure. This paper discusses different insulation detection techniques, Artificial Intelligence (AI) concepts for battery safety, and safety issues associated with high-voltage power supply in electric vehicles. Considering the high voltage, the chances of insulation failures are more. Fast detection techniques are required to avoid insulation failure conditions. Field Programmable Gate Array (FPGA), Virtex 7 is advanced and quick in obtaining results compared to other processors. This paper used the Virtex 7 FPGA to process the developed algorithm and simulated the results in Vivado software.

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U2 - 10.1007/978-981-99-2602-2_57

DO - 10.1007/978-981-99-2602-2_57

M3 - Conference contribution

AN - SCOPUS:85175945388

SN - 9789819926015

T3 - Lecture Notes in Networks and Systems

SP - 747

EP - 756

BT - Innovations in Computational Intelligence and Computer Vision - Proceedings of ICICV 2022

A2 - Roy, Satyabrata

A2 - Sinwar, Deepak

A2 - Dey, Nilanjan

A2 - Perumal, Thinagaran

A2 - Tavares, João Manuel R.S.

PB - Springer Science and Business Media Deutschland GmbH

T2 - 3rd International Conference on Innovations in Computational Intelligence and Computer Vision, ICICV 2022

Y2 - 24 November 2022 through 25 November 2022

ER -

Bukya M, Kumar R, Mathur A. Electrical Vehicles Insulation Detection Using Virtex 7 FPGA. In Roy S, Sinwar D, Dey N, Perumal T, Tavares JMRS, editors, Innovations in Computational Intelligence and Computer Vision - Proceedings of ICICV 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 747-756. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-99-2602-2_57

Electrical Vehicles Insulation Detection Using Virtex 7 FPGA

Abstract

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