Subcell‐Resolved EQE Method Using Reverse Voltage Biasing for Multijunction Photovoltaics With Overlapping Subcell Absorptance

ABSTRACT External quantum efficiency (EQE) measurements of individual subcells in multijunction photovoltaic devices are essential to evaluate current matching and to iterate the design process. The standard light biasing technique used to measure subcell EQE falls short when multiple subcells absorb within the same spectral region. In this work, we demonstrate a three‐step reverse voltage biasing EQE method, which measures any number of subcells with overlapping absorptance: (1) A light bias is applied to generate current mismatch between the subcells. (2) Current–voltage ( I–V ) characteristics are measured into reverse bias, where the limiting subcell enters reverse‐bias breakdown and the device current climbs to a plateau at the photocurrent of the next limiting subcell, producing a staircase I–V curve. (3) Each subcell EQE curve is measured using a voltage bias within its current plateau. We demonstrate this approach for a two‐junction GaAs‐based photonic power converter, comparing to the standard light biasing method and revealing better than 0.8% absolute agreement when the top junction is preferentially biased in the reverse voltage biasing method. We demonstrate the viability of the method by measuring the EQE of all subcells in a six‐junction GaAs‐based photonic power converter.

Authors

Institutions

Publication Details

Journal
Progress in Photovoltaics Research and Applications
Published
2025-04-21
DOI
https://doi.org/10.1002/pip.3914
Citations
1
Primary Topic
solar cell performance optimization
Type
article
Field-Weighted Citation Impact
0.73

Funders

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

Subcell‐Resolved EQE Method Using Reverse Voltage Biasing for Multijunction Photovoltaics With Overlapping Subcell Absorptance

Michael Schachtner, Karin Hinzer, Henning Helmers, Gerald Siefer et al.
1 citations
Progress in Photovoltaics Research and Applications
solar cell performance optimization
0.73
article

Subcell‐Resolved EQE Method Using Reverse Voltage Biasing for Multijunction Photovoltaics With Overlapping Subcell Absorptance

Michael Schachtner, Karin Hinzer, Henning Helmers, Gerald Siefer, Meghan N. Beattie, David Lackner, Oliver Höhn
article en
1 citations

Abstract

ABSTRACT External quantum efficiency (EQE) measurements of individual subcells in multijunction photovoltaic devices are essential to evaluate current matching and to iterate the design process. The standard light biasing technique used to measure subcell EQE falls short when multiple subcells absorb within the same spectral region. In this work, we demonstrate a three‐step reverse voltage biasing EQE method, which measures any number of subcells with overlapping absorptance: (1) A light bias is applied to generate current mismatch between the subcells. (2) Current–voltage ( I–V ) characteristics are measured into reverse bias, where the limiting subcell enters reverse‐bias breakdown and the device current climbs to a plateau at the photocurrent of the next limiting subcell, producing a staircase I–V curve. (3) Each subcell EQE curve is measured using a voltage bias within its current plateau. We demonstrate this approach for a two‐junction GaAs‐based photonic power converter, comparing to the standard light biasing method and revealing better than 0.8% absolute agreement when the top junction is preferentially biased in the reverse voltage biasing method. We demonstrate the viability of the method by measuring the EQE of all subcells in a six‐junction GaAs‐based photonic power converter.

Progress in Photovoltaics Research and ApplicationsVol. 33(7)
University of Ottawa (CA), Fraunhofer Institute for Solar Energy Systems (DE)
Government of Canada, Bundesministerium für Bildung und Forschung, Albert-Ludwigs-Universität Freiburg, Mitacs, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 28%
solar cell performance optimization
0.73
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.