Feature selection and model tuning are coupled decisions in real-world electric-vehicle battery analysis: the search must balance predictive performance, feature burden, model complexity, and computational demand. This study develops three integrated hybrids—Adaptive Differential Evolution–Particle Swarm Optimisation (...
Mavis Fortunate Makama, B. Thango· Batteries· 0 citations
Vision-based photovoltaic (PV) tracking requires a calibrated mapping from fisheye pixels to physical solar directions, yet deployed cameras may lack calibration targets or a surveyed pose. This study asks whether timestamped sky images can recover a camera mapping that is internally consistent with a solar ephemeris,...
High-voltage electric-vehicle (EV) fast charging requires accurate coordination between the off-board charger and the battery management system during voltage and current negotiation. This study evaluates a Hybrid Particle Swarm Optimization-Whale Optimization Algorithm (HPWOA) schedule for training a dual-output feedf...
Buasa Andy Mayingi, B. Thango, D. Okojie et al.· World Electric Vehicle Journ...· 0 citations
Electric vehicle (EV) smart charging changes the operating point of the vehicle on-board charger (OBC), so conversion efficiency and grid-side power quality can vary materially with the charging current. This study reanalyses an experimental dataset of 38 EV models represented by 39 test units manufactured between 2011...
Buasa Andy Mayingi, B. Thango, D. Okojie et al.· World Electric Vehicle Journ...· 0 citations
Last-mile delivery routing requires simultaneous control of distance, travel time, service deadlines, vehicle capacity, workload balance, operating cost, emissions, and uncertainty. This study provides a controlled low-budget comparison of ten classical metaheuristics for a LaDe-calibrated stochastic CVRPTW. The GA, DE...
A multi-domain machine learning framework that integrates spatio-temporal charging demand, station-level infrastructure characteristics, land-use information, and graph-based network relationships for EV charging prediction and infrastructure siting is proposed.
B. Thango, G. K. Ayetor· World Electric Vehicle Journ...· 0 citations
A Binary Hybrid Particle Whale Optimization Algorithm for multi-objective feature selection targeting three-class BMS fault diagnosis: OK, Warning, and Critical, evaluated using an 18-feature EV charging dataset with n=500 samples.
Buasa Andy Mayingi, B. Thango, D. Okojie· World Electric Vehicle Journ...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
