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Novel Battery-Less Sustainable Energy Harvester Scheme for On-board Electronic Units
Author(s) -
G. Ranganathan,
V. Bindhu
Publication year - 2021
Publication title -
journal of electrical engineering and automation
Language(s) - English
Resource type - Journals
ISSN - 2582-3051
DOI - 10.36548/jeea.2020.3.005
Subject(s) - impedance matching , transponder (aeronautics) , electronic engineering , battery (electricity) , rectifier (neural networks) , electrical engineering , computer science , maximum power principle , transmission (telecommunications) , energy (signal processing) , engineering , power (physics) , electrical impedance , voltage , statistics , physics , stochastic neural network , mathematics , quantum mechanics , machine learning , recurrent neural network , artificial neural network , aerospace engineering
With the rapid development in smart vehicles, the on-board unit is established for communication between the vehicle and toll collection booth for toll collection. However, providing a continuous power supply to such units has been a challenge. While features like compactness, low cost and simplicity are to be maintained, the accuracy and performance of the device are to be maintained intact. This paper proposes a battery-less energy harvester scheme as a solution to this power issue. Maximum energy transmission Several researches are conducted on obtaining maximum energy transmission through performance optimization in this domain. This paper provides maximum performance while minimizing the energy harvester transponder dimensions. The energy transmitted to the transponder is maximized considering the optimal source impedance. This provides power to the battery-less structure. The radio frequency to DC rectifier is provided with an optimal source impedance with the help of a small patch antenna. Utilization of a lossy matching network can be avoided through this technique. Inter-stage matching network is used for comparison of the function. The energy efficiency using the proposed scheme is increased by a factor of 10% when compared to the existing schemes.

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