An Efficient Photovoltaic Energy Harvesting System Using MPPT Control Based on Partial Open‐Circuit Voltage Sampling

ABSTRACT This paper proposes an efficient photovoltaic energy harvesting (PVEH) system suitable for indoor lighting conditions and employs a maximum power point tracking (MPPT) control strategy based on partial open‐circuit voltage sampling (partial OCV sampling). The photovoltaic (PV) cell in the system consists of a single photodiode (PD1) and a sub‐array consisted of n − 1 photodiodes connected in series (denoted as PD( n − 1)). During the MPPT time, only the open‐circuit voltage (OCV) of PD1 is sampled. By utilizing the area ratio between PD1 and PD( n − 1), the equivalent OCV of the entire PV cell is estimated, enabling the tracking of the maximum power point (MPP). This method avoids the energy loss caused by sampling the OCV of the entire PV cell, as required in conventional methods. A prototype system was tested under various indoor lighting conditions. Experimental results show that the system can generate an output power ranging from 10.86 to 616.2 μW across the tested lighting levels, while the system's own power consumption is approximately 126 μW. Moreover, when the lighting intensity reaches a certain threshold, the system achieves self‐powered operation, indicating strong potential for practical applications.

Authors

Institutions

Publication Details

Journal
International Journal of Circuit Theory and Applications
Published
2025-10-18
DOI
https://doi.org/10.1002/cta.70182
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

An Efficient Photovoltaic Energy Harvesting System Using MPPT Control Based on Partial Open‐Circuit Voltage Sampling

Yinshui Xia, Libo Qian, Xiudeng Wang, Ge Shi et al.
International Journal of Circuit Theory and Applications
Photovoltaic System Optimization Techniques
article

An Efficient Photovoltaic Energy Harvesting System Using MPPT Control Based on Partial Open‐Circuit Voltage Sampling

Yinshui Xia, Libo Qian, Xiudeng Wang, Ge Shi, Huakang Xia, Yue Wang, Xiang Long
article en

Abstract

ABSTRACT This paper proposes an efficient photovoltaic energy harvesting (PVEH) system suitable for indoor lighting conditions and employs a maximum power point tracking (MPPT) control strategy based on partial open‐circuit voltage sampling (partial OCV sampling). The photovoltaic (PV) cell in the system consists of a single photodiode (PD1) and a sub‐array consisted of n − 1 photodiodes connected in series (denoted as PD( n − 1)). During the MPPT time, only the open‐circuit voltage (OCV) of PD1 is sampled. By utilizing the area ratio between PD1 and PD( n − 1), the equivalent OCV of the entire PV cell is estimated, enabling the tracking of the maximum power point (MPP). This method avoids the energy loss caused by sampling the OCV of the entire PV cell, as required in conventional methods. A prototype system was tested under various indoor lighting conditions. Experimental results show that the system can generate an output power ranging from 10.86 to 616.2 μW across the tested lighting levels, while the system's own power consumption is approximately 126 μW. Moreover, when the lighting intensity reaches a certain threshold, the system achieves self‐powered operation, indicating strong potential for practical applications.

International Journal of Circuit Theory and Applications
Ningbo University (CN), Xidian University (CN), China Jiliang University (CN)
National Natural Science Foundation of China, Ningbo University, Natural Science Foundation of Ningbo, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 80%
Photovoltaic System Optimization Techniques
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.