A levy chaotic horizontal vertical crossover based artificial hummingbird algorithm for precise PEMFC parameter estimation

Pradeep Jangir; Absalom E Ezugwu; Kashif Saleem; Arpita; Sunilkumar P Agrawal; Sundaram B Pandya; Anil Parmar; G Gulothungan; Laith Abualigah

doi:10.1038/s41598-024-81168-6

A levy chaotic horizontal vertical crossover based artificial hummingbird algorithm for precise PEMFC parameter estimation

Sci Rep. 2024 Nov 28;14(1):29597. doi: 10.1038/s41598-024-81168-6.

Authors

Pradeep Jangir^{1

2

3

4

5}, Absalom E Ezugwu⁶, Kashif Saleem⁷, Arpita⁸, Sunilkumar P Agrawal⁹, Sundaram B Pandya¹⁰, Anil Parmar¹⁰, G Gulothungan¹¹, Laith Abualigah^{12

13}

Affiliations

¹ University Centre for Research and Development, Chandigarh University, Gharuan, Mohali, 140413, India.
² Department of CSE, Graphic Era Hill University, Dehradun, 248002, India.
³ Department of CSE, Graphic Era Deemed To Be University, Dehradun, 248002, Uttarakhand, India.
⁴ Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan.
⁵ Jadara University Research Center, Jadara University, PO Box 733, Irbid, Jordan.
⁶ Unit for Data Science and Computing, North-West University, 11, Hofman Street, Potchefstroom, 2520, South Africa. [email protected].
⁷ Department of Computer Science and Engineering, College of Applied Studies and Community Service, King Saud University, 11362, Riyadh, Saudi Arabia.
⁸ Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602 105, India.
⁹ Department of Electrical Engineering, Government Engineering College, Gandhinagar, Gujarat, 382028, India.
¹⁰ Department of Electrical Engineering, Shri K.J. Polytechnic, Bharuch, 392 001, India.
¹¹ Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chengalpattu, Tamilnadu, 603203, India.
¹² Computer Science Department, Al Al-Bayt University, Mafraq, 25113, Jordan.
¹³ Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India.

Abstract

In this research, enhanced versions of the Artificial Hummingbird Algorithm are used to accurately identify unknown parameters in Proton Exchange Membrane Fuel Cell (PEMFC) models. In particular, we propose a multi strategy variant, the Lévy Chaotic Artificial Hummingbird Algorithm (LCAHA), which combines sinusoidal chaotic mapping, Lévy flights and a new cross update foraging strategy. The combination of this method with PEMFC parameters results in a significantly improved performance compared to traditional methods, such as Particle Swarm Optimization (PSO), Differential Evolution (DE), Grey Wolf Optimizer (GWO), and Sparrow Search Algorithm (SSA), which we use as baselines to validate PEMFC parameters. The quantitative results demonstrate that LCAHA attains a minimum Sum of Squared Errors (SSE) of 0.0254 and standard deviation of 4.59E-08 for the BCS 500W PEMFC model, which is much lower than the SSE values obtained for PSO (0.1924) and GWO (0.0364), thereby validating the superior accuracy and stability of LCAHA. Moreover, LCAHA converges faster than DE and SSA, reducing runtime by about 47%. The robustness and reliability of LCAHA-simulated and actual I-V curves across six PEMFC stacks are shown to be in close alignment.

Keywords: Artificial hummingbird algorithm; Electrical Engineering Optimization; LCAHA; Optimal parameter estimation; PEM fuel cell.