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The Department of Electrical and Electronics Engineering is organising a 5-day Skill Enhancement Programme on "Renewable Energy and Smart Transportation" from July 22 - 26, 2024. The Skill Enhancement Programme
Abstract: This paper proposes a Random Forest (RF) machine learning algorithm-based prediction model for the state of charge (SoC) level of lithium-ion batteries for electric vehicles. To show the effectiveness
Abstract: This work investigates the application of Artificial Bee Colony (ABC) optimization for the design of Type compensators utilizing the dual-loop control scheme. The proposed Type compensators integrate the ABC
Abstract: A new non-isolated single-input dual-output (NISIDO) DC-DC converter is proposed in this paper. The converter has the advantage of incorporating multiple outputs for energy storage applications, applicable in DC
Abstract: A new non-isolated single-input dual-output (NISIDO) DC-DC converter is proposed in this paper. The converter has the advantage of incorporating multiple outputs for energy storage applications, applicable in DC
Abstract: A new non-isolated single-input dual-output (NISIDO) DC-DC converter is proposed in this paper. The converter has the advantage of incorporating multiple outputs for energy storage applications, applicable in DC
Abstract: This paper proposes BKY converter, which is made to run in continuous conduction mode during both the charging and discharging cycles for low power EV applications. An analysis is
Dr S S Bhatnagar University Institute of Chemical Engineering & Technology, Panjab University Chandigarh
Organising Institution: Godavari Global University, RajamundryCategory: AICTE Sponsored Two-Day National Workshop under the scheme of VAANI