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.
UR - https://www.scopus.com/pages/publications/85175945388
UR - https://www.scopus.com/pages/publications/85175945388#tab=citedBy
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 -
