MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202431101597 A) filed by Indian Institute Of Technology Kharagpur on December 20, 2024, for Intelligent Selective Mechanism For Efficient Energy Harvesting From Hybrid Multimodal Energy Sources..
Inventors include Aman Raj; Dr. Banibrata Mukherjee; and Dr. Somnath Sengupta.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: ABSTRACT TITLE: INTELLIGENT SELECTIVE MECHANISM FOR EFFICIENT ENERGY HARVESTING FROM HYBRID MULTIMODAL ENERGY SOURCES. The need for sustainable, maintenance-free power systems has driven significant interest in ambient energy harvesting from various sources for powering low-energy IoT and wireless sensor nodes. Existing energy harvesting systems suffer from fixed source integration and lack real-time adaptability, leading to energy losses due to polarity mismatch and redundant source activation. To overcome these limitations, this work presents an intelligent self-powered selective mechanism that dynamically evaluates multiple ambient energy sources and integrates them based on polarity alignment towards maximum energy extraction. Hence this proposed mechanism consists of two consecutive phases, one evaluating the energy sources for primary source selection and the subsequent phase for the energy harvesting of the integrated sources. The system of the present invention employs a low-power microcontroller to control switches of the sources, enabling real-time source prioritization and constructive polarity aware integration. The present system in a preferred embodiment using two phase shifted electromagnetic energy sources demonstrate a significant improvement in stored energy. With a suitable storage capacitor, within the span of predetermined duration, the proposed ISM produced substantially higher energy, with respect to SEH during the same timeof operation when subjected to same power sources. This adaptive mechanism ensures that only compatible sources contribute to energy accumulation, maximizing efficiency in dynamic environments. The proposed architecture is scalable, low-power, and suitable for deployment in infrastructure monitoring and remote sensing applications.
Disclaimer: Curated by HT Syndication.