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Pritpal Singh

Researcher at Sri Guru Granth Sahib World University

Publications -  241
Citations -  4169

Pritpal Singh is an academic researcher from Sri Guru Granth Sahib World University. The author has contributed to research in topics: Fuzzy logic & Chemistry. The author has an hindex of 28, co-authored 187 publications receiving 2813 citations. Previous affiliations of Pritpal Singh include Thapar University & Villanova University.

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Determination of state-of-charge and state-of-health of batteries by fuzzy logic methodology

Alvin J. Salkind, +5 more
- 01 Jul 1999 - 
TL;DR: New detailed impedance date has been obtained on the discharge performance of primary lithium/sulfur dioxide cells and the use of fuzzy logic mathematics to analyze data obtained by impedance spectroscopy and/or coulomb counting techniques.
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Large Signal Lyapunov-Based Stability Studies in Microgrids: A Review

Mahmoud Kabalan, +2 more
- 01 Sep 2017 - 
TL;DR: The aspects that make Lyapunov-based microgrid stability studies interesting and valuable are highlighted and areas that future research could address to improve large-signal stability studies of microgrids are recommended.
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Design and implementation of a fuzzy logic-based state-of-charge meter for Li-ion batteries used in portable defibrillators

Pritpal Singh, +3 more
- 22 Nov 2006 - 
TL;DR: In this paper, a fuzzy logic-based state-of-charge meter is developed for Li-ion batteries for potential use in portable defibrillators, which are used as the input parameters for the fuzzy logic model.
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Photodegradation of organic pollutants using heterojunctions: A review

Parul, +4 more
- 01 Apr 2020 - 
TL;DR: In this paper, a review succinctly outlines the recent progress in the synthesis methods and the photocatalytic performances of semiconductor-semiconductor heterojunctions and semiconductor carbon heterojunction for degradation of pollutants like dyes, antibiotics, insecticides, herbicides, pesticides and water splitting.
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A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches

Pritpal Singh, +1 more
- 01 Jul 2018 - 
TL;DR: Empirical analysis demonstrates that forecasting accuracy of the proposed model based on granular intervals is better than non-granular intervals and can take far better decision with the M-factors time series data sets.