Implementing Wireless Charging System for Semi-Autonomous Agricultural Robots

The modernization of agriculture can help humanity address major challenges such as population growth, climate change, and labor shortages. Semi-autonomous agricultural robots offer clear advantages in automating tasks and improving efficiency. However, in open-field conditions, their autonomy is limited by the size and weight of onboard batteries. Wireless charging is a promising solution to overcome this limitation. This work proposes a methodology for the design, modeling, and experimental validation of a wireless power transfer (WPT) system for battery recharging of agricultural robots. A brief review of WPT technologies is provided, followed by key design considerations, co-simulation, and testing results. The proposed WPT system uses a resonant inductive power transfer topology with series–series (SS) compensation, a high-frequency inverter (85 kHz), and optimized spiral planar coils, enabling medium-range operation under agricultural conditions. The main contribution lies in the first experimental assessment of WPT performance under real agricultural environmental factors such as soil moisture and water presence, combined with electromagnetic safety evaluation and robust component selection for harsh conditions. Results highlight both the potential and limitations of this approach, demonstrating its feasibility and paving the way for future integration with intelligent alignment and adaptive control strategies.

Authors

Institutions

Publication Details

Journal
Energies
Published
2025-08-30
DOI
https://doi.org/10.3390/en18174624
Primary Topic
Wireless Power Transfer Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementing Wireless Charging System for Semi-Autonomous Agricultural Robots

Afef Bennani-Ben Abdelghani, Alben Cardenas, Abdoulaye Bodian, Dina Ouardani et al.
Energies
Wireless Power Transfer Systems
article

Implementing Wireless Charging System for Semi-Autonomous Agricultural Robots

Afef Bennani-Ben Abdelghani, Alben Cardenas, Abdoulaye Bodian, Dina Ouardani, Jaber Ouakrim
article en

Abstract

The modernization of agriculture can help humanity address major challenges such as population growth, climate change, and labor shortages. Semi-autonomous agricultural robots offer clear advantages in automating tasks and improving efficiency. However, in open-field conditions, their autonomy is limited by the size and weight of onboard batteries. Wireless charging is a promising solution to overcome this limitation. This work proposes a methodology for the design, modeling, and experimental validation of a wireless power transfer (WPT) system for battery recharging of agricultural robots. A brief review of WPT technologies is provided, followed by key design considerations, co-simulation, and testing results. The proposed WPT system uses a resonant inductive power transfer topology with series–series (SS) compensation, a high-frequency inverter (85 kHz), and optimized spiral planar coils, enabling medium-range operation under agricultural conditions. The main contribution lies in the first experimental assessment of WPT performance under real agricultural environmental factors such as soil moisture and water presence, combined with electromagnetic safety evaluation and robust component selection for harsh conditions. Results highlight both the potential and limitations of this approach, demonstrating its feasibility and paving the way for future integration with intelligent alignment and adaptive control strategies.

EnergiesVol. 18(17)
Université du Québec à Trois-Rivières (CA), Tunis El Manar University (TN)
CMC Microsystems, Ministère des relations internationales et de la Francophonie, Mitacs, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 78%
Wireless Power Transfer Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Implementing Wireless Charging System for Semi-Autonomous Agricultural Robots — Afef Bennani-Ben Abdelghani, Alben Cardenas, et al. · Energies (2025) | TGRS Research Map | TGRS