Intelligent Hybrid Solar–Wind Off-Grid (Standalone) Electric Vehicle Charging Stations for Remote Areas and Developing Countries: A Comprehensive Review
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Ibezim, O
Prasad, K
Kilby, J
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MDPI AG
Abstract
Off-grid electric vehicle (EV) charging infrastructure powered by hybrid solar–wind systems address critical adoption barriers in developing countries, where grid unreliability and sparse charging networks constrain transportation electrification. Despite growing research interest, no comprehensive review has systematically synthesized the interplay between hybrid renewable architectures, intelligent energy management strategies, and techno-economic viability specifically for off-grid EV charging in resource-constrained settings. This systematic review applies the PRISMA methodology to analyze 94 peer-reviewed publications (2013–2026), examining system architectures, intelligent control strategies, power electronics, battery storage, and deployment frameworks for standalone hybrid solar–wind EV charging stations. Key findings indicate that hybrid solar–wind configurations achieve 30–50% reductions in battery storage requirements and 15–25% lower levelized cost of energy (LCOE) (USD 0.08–0.15/kWh) compared with single-source systems, driven by diurnal and seasonal resource complementarity. Among intelligent control methods, the two-stage distributionally robust optimization (TSDRO) framework emerges as the most promising for data-scarce environments, outperforming conventional deterministic and stochastic approaches by 10–20% in managing renewable intermittency without requiring precise probability distributions. Wide-bandgap power semiconductors (SiC, GaN) enable 96–98% conversion efficiency, while lithium iron phosphate batteries provide 3000–5000 cycle lifetimes suited to tropical operating conditions. Critical gaps remain with field validation still predominantly simulation based, long-term operational data exceeding 24 months on equipment degradation and climate resilience are scarce, and scalable financing models for developing country contexts require further development. Nigeria is presented as an exemplar deployment context, with transferable insights for sub-Saharan Africa, South Asia, and Southeast Asia.
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4007 Control Engineering, Mechatronics and Robotics, 40 Engineering, 7 Affordable and Clean Energy, 13 Climate Action, 0906 Electrical and Electronic Engineering, 4009 Electronics, sensors and digital hardware, electric vehicle charging, hybrid solar–wind systems, off-grid infrastructure, intelligent energy management, distributionally robust optimization, battery storage, developing regions, levelized cost of energy
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Electronics Switzerland, ISSN: 1450-5843 (Print); 2079-9292 (Online), MDPI AG, 15(11), 2253-2253. doi: 10.3390/electronics15112253
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© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
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Except where otherwise noted, this item's license is described as © 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.

