Dr. Mohankumar Venugopal
@drait.edu.in
Assistant Professor, Electronics and Communication Engineering Department
Dr. Ambedkar Institute of Technology
Perspective educator with a good record of accomplishments in the attainment of targets during 20 years of a career. Experienced in the administrative work towards R&D activities, accreditation process, and guiding the inductee teachers to adopt innovative teaching and learning process. Areas of interest are Energy Harvesting, Electrical and Electronic Circuits, Control Systems, Robotics, Power Electronics. Currently doing research on the development of Intelligent Controlled Actuators Powered by Energy Harvesters for Medical Applications.
EDUCATION
B.E., in Electronics and Communication Engineering
M. Tech., in Computer Science and Engineering
Ph.D., in Energy Harvesting.
RESEARCH, TEACHING, or OTHER INTERESTS
Multidisciplinary, Control and Systems Engineering, Electrical and Electronic Engineering, Energy
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Mohankumar Venugopal and Govindanayakanapalya Venkatagiriyappa Jayaramaiah
Institute of Advanced Engineering and Science
<span>The biomechanical energy harvesting system (BM-EHS) uses human daily activities to create electricity. The BM-EHS is one of the potential alternative technologies for powering wearable and implantable electronic gadgets without batteries. The hybrid BH-EHS is modeled using two different vibration source-based human activities in this manuscript. The piezoelectric (PE) and electromagnetic (EM) based EHS are combined in the hybrid BM-EHS. The PE- EHS is based on human walking and jagging motions and is represented using a mass-spring-damper system and PE stack. The EM- EHS is based on the human knee and hip motions, with shaft conversion and a DC motor. The PE, EM, and hybrid BM-based EHS are modeled using MATLAB/Simulink, and performance results are realized individually. The PE-EHS obtains the average output voltage of 0.5 V and harvests 53.18 mW of power. Similarly, the EM-EHS achieves the average load voltage of 0.567 V and 30.6 mW harvested power. The hybrid BM-EHS obtains the average load voltage of 0.79 V and harvests 86 mW of power. The proposed BM-EHS is compared with the existing EHS with better-harvested power and energy improvement for the given load conditions. Overall, the harvested power can power up the low-power applications.</span>
Mohankumar Venugopal and Govindanayakanapalya Venkatagiriyappa Jayaramaiah
Institute of Advanced Engineering and Science
<span lang="EN-US">Energy harvesting is a process of extracting energy from surrounding environments. The extracted energy is stored in the supply power for various applications like wearable, wireless sensor, and internet of thing (IoT) applications. The electricity generation using conventional approaches is very costly and causes more pollution in the environmental surroundings. In this manuscript, an energy-efficient, self-powered battery-less piezoelectric-based energy harvester (PE-EH) system is modeled using maximum power point tracking (MPPT) module. The MPPT is used to track the optimal voltage generated by the piezoelectric (PE) sensor and stored across the capacitor. The proposed PE system is self-operated without additional microarchitecture to harvest the Power. The experimental simulation results for the overall PE-EH systems are analyzed for different frequency ranges with variable input source vibrations. The optimal voltage storage across the storing capacitor varies from 1.12 to 1.6 V. The PE-EH system can harvest power up to 86 µW without using any voltage source and is suitable for low-power applications. The proposed PE-EH module is compared with the existing similar EH system with better improvement in harvested power.</span>
Mohankumar V and G.V. Jayaramaiah
The Science and Information Organization
Energy harvesting is a powerful technique to produce clean and renewable energy with better infrastructure improvement. The exhaustive review of recent progress and development in bio-mechanical energy harvesting (BMEH) techniques from human body is discussed in this manuscript. The BMEH from the human body is categorized into three parts, namely, piezoelectric energy harvesting (PEEH), triboelectric energy harvesting (TEEH), and Electro-magnetic Energy harvesting (EMEH). Each energy harvesting system is discussed with working principles with mathematical equations; each energy harvesting progress is discussed with a few work demonstrations. The applications of each energy harvesting from the recent research work are addressed in detail. The summary of each energy harvester from the human body or motion with advantages, limitations, performance metrics, current methods, and implemented human body parts are highlighted with Tabulation. The critical challenges/issues with possible solutions are also discussed. Keywords—Bio-mechanical; energy harvesting; electromagnetic; human-body; piezoelectric; triboelectric