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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Applied Power Engineering (IJAPE)
Vadthya Jagan
Vignana Bharathi Institute of Technology
Control & Systems Engineering Electrical & Electronics Engineering

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A family of switched-impedance network enhanced-boost quasi-Z-source inverters Vadthya Jagan; Mithun Kumar Reddy Alpuri; Mandava Neeharika; Cheruku Swetha; Pedekala Mahendar; Sharmili Das
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp309-321

Abstract

This paper proposes a family of novel enhanced-boost quasi-Z-source inverters (EB-qZSIs). For the similar input voltage and shoot-through duty ratio, similar to that of enhanced-boost Z-source inverter/enhanced-boost qZSIs, the presented topologies provide very high voltage boost at high modulation index with improved quality output waveform. Compared to EB-ZSI and EB-qZSIs, these topologies provide less capacitors stress, which reduce the volume and cost of the system. Akin to traditional EB-qZSIs, the presented novel impedance networks share joint ground with the source and inverter bridge, also reduces the initial inrush current. Among the four types of proposed configurations, the type-1 of discontinuous input current (DIC) EB-qZSIs offers fewer stress athwart the capacitors and little inrush current at start-up condition. Consequently, type-1 is considered and illustrated for the examination, simulation, and hardware execution. The steady-state operation and derivation of boost factor, peak direct current-link (DC-link) voltage and capacitor voltages are derived for both continuous conduction mode (CCM) and discontinuous conduction modes (DCM). The Z-network elements design, and evaluation with other Z-networks are also carried out. Lastly, the hypothetical investigation is confirmed with simulation and experimental tests.
High risk industries for advanced lightning protection system Kalagotla Chenchireddy; P. Nagabushanam; Radhika Dora; Vadthya Jagan; Shabbier Ahmed Sydu; Nunavath Praveen
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp958-965

Abstract

Lightning strikes are a serious risk for high-risk facilities like oil and gas plants, mines, explosive storage, and data centers. These places hold the sensitive equipment and dangerous materials, and a lightning strike can cause major damage, leading to expensive downtime or even disastrous events such as fires or explosions. That’s why having a strong lightning protection system is not just a matter of following rules, but it is crucial for protecting both people and property. The complete lightning protection solutions designed to meet the specific needs of these critical industries. The services include lightning simulations and both isolated and attached lightning protection systems. This study investigates the real-time installation and testing of advanced lightning protection systems across high-risk industries like oil and gas plants, mines, explosive storage, and data centers. This ensures that the facility stays safe and continues to operate, even during severe weather. By investing in an effective lightning protection system, you can help secure your assets and keep everyone safe, focusing on what really matters in your industry.
Intelligent gear shifting in electric and hybrid vehicles: a CAN controller-based approach using SOC% Kalagotla Chenchireddy; Naresh Jella; Vadthya Jagan; R. Naveena Bhargavi; Shabbier Ahmed Sydu; Nunavath Praveen
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i2.pp581-589

Abstract

The intelligent management of gear shifting in electric and hybrid vehicles (EVs and HEVs) is essential for optimizing energy efficiency, improving fuel economy, and enhancing driving comfort. Traditional gear shifting strategies, which are designed for internal combustion engine (ICE) vehicles, do not fully accommodate the unique dynamics of electric and hybrid powertrains. This paper proposes a novel approach for gear shifting in EVs and HEVs, integrating the state of charge (SOC%) of the battery as a critical input for decision-making. The proposed algorithm utilizes real-time data from the vehicle's controller area network (CAN), enabling seamless communication between the transmission control unit, battery management system, and powertrain control module. The algorithm adjusts gear shifting based on SOC%, vehicle speed, engine RPM, and throttle position, ensuring optimal use of the electric motor and internal combustion engine. At high SOC%, the algorithm prioritizes electric motor use to conserve fuel and extend battery life, while at lower SOC%, it switches to relying more on the combustion engine. The proposed method optimizes energy usage, enhances fuel efficiency, and prolongs battery life by adapting the shifting strategy to varying driving conditions.
Co-Authors Cheruku Swetha Kalagotla Chenchireddy Mandava Neeharika Mithun Kumar Reddy Alpuri Naresh Jella Nunavath Praveen P. Nagabushanam Pedekala Mahendar R. Naveena Bhargavi Radhika Dora Shabbier Ahmed Sydu Shabbier Ahmed Sydu Sharmili Das