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Wireless Charging Foreign Object Detection Patents: Leaders 2026

Wireless Charging Foreign Object Detection Patents: Leaders 2026
https://www.patsnap.com/resources/blog/rd-blog/wireless-power-transfer-foreign-object-detection-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Power Electronics
Wireless power transfer foreign object detection patents: who leads and where filings are heading

A data-backed look at foreign object detection patents in wireless power transfer: who holds the largest families, how filings have moved since 2017, and where the technology classes concentrate across 1,523 records in s

1,523
Published Records
38%
Top-5 Share of All Records
-47%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth = 2021 (163 records) → 2024 (86); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 1,523 records in scope (CR5), not the ranked leaders only.

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Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Field Overview

What this landscape covers

Foreign object detection (FOD) is the safety layer that stops a wireless charging pad from heating a coin, a key or a length of wire left on the transmit coil instead of the intended receiver. The claim space sits at the intersection of power electronics, sensing and, increasingly, electric-vehicle charging pads large enough to hide objects a phone charger never has to worry about. This landscape covers 1,523 published records filed or published between 2015 and the current data cut-off, spanning capacitive, inductive and quality-factor-based sensing approaches described in claims or title/abstract text tied to wireless power transfer, wireless charging or inductive charging.

The dataset is drawn from a targeted search across titles, abstracts, claims and classification codes, then organised into patent families for the assignee ranking so that continuation filings and multi-jurisdiction copies of the same invention are not double-counted as separate competitive positions.

Records by publication year and leading IPC subclass
  1. 1KONINKLIJKE PHILIPS NV261
  2. 2APPLE INC97
  3. 3LG INNOTEK CO LTD81
  4. 4WITRICITY AI TECH LLC72
  5. 5WITRICITY CORP61
  6. 6LG ELECTRONICS INC57
  7. 7DOLBY INTELLECTUAL PROPERTY LICENSING LLC43
  8. 8MEDIATEK SINGAPORE PTE LTD43
  9. 9MEDIATEK INC33
  10. 10SAMSUNG ELECTRONICS CO LTD32
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Wireless Power Transfer: Foreign Object Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Numbers

Filing trend and technology composition

Two views matter here: how filing volume has moved year over year, and which classification codes the claims actually sit under. Both are given at the record level, using the same 1,523-record denominator throughout.

Filings rose sharply through the late 2010s, then cooled

Annual filings climbed from 115 in 2017 to a peak of 198 in 2020, then declined; the 2021-to-2024 span shows a 47% drop, from 163 down to 86. 2024 is the most recent year that can be read as complete — 2025 and 2026 figures will keep rising as publication catches up with filing, roughly an 18-month lag, so treat the tail of the chart as a floor rather than a ceiling.

Filings rose sharply through the late 2010s, then cooled050100150200115201720182019198202020212022202320242025112026Most recent year is partial — publication lag means later filings are not yet visible.

Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.

H02J dominates; EV and RF/geolocation classes trail well behind

H02J (power supply and grid systems) appears on 90.8% of the 1,523 records, confirming that most FOD claims are drafted as power-electronics inventions first. B60L (electric vehicle propulsion, 18.6%) and G01V (geophysics and gravity surveying — largely metal-object and coil-sensing methods, 13.1%) are the next largest classes, with H01F, H04B and G01R each in the mid-to-high single digits. Because a record can carry several IPC codes, these shares add up to well over 100% and should be read as coverage, not as a partition of the field.

H02J dominates; EV and RF/geolocation classes trail well behindH02J · Power supply & grid systems1,38390.8%B60L · Electric vehicle propulsion28318.6%G01V · Geophysics & gravity surveying20013.1%H01F · Magnets, inductors & transform…1449.5%H04B · Transmission (general)1429.3%G01R · Electric & magnetic measurement1046.8%H05B · Electric heating & lighting ci…302.0%G06F · Electric digital data processi…231.5%Other29919.6%

Shares are the percentage of the 1,523 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Wireless Power Transfer: Foreign Object Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Representative Filing

A representative record and the most-cited prior art

Representative Record
US20230016466A12023-01-19

Wireless power transfer pad — foreign object detection coils doubling as photovoltaic electrodes

NINGBO GEELY AUTOMOBILE RESEARCH & DEVELOPMENT CO., LTD.

A wireless power transfer pad for charging a vehicle's electrical storage system combines an oscillating field generator with a foreign object detection arrangement built from multiple detection coils. Those coils are also wired into the pad's front-side electrode arrangement for an integrated photovoltaic substrate, so the same conductive structure does double duty as a solar collector and an object sensor.Filed by Ningbo Geely Automobile Research & Development, published 2023-01-19 — illustrates how EV-scale charging pads are folding FOD sensing into other pad structures rather than adding it as a separate module.

US20230016466A1 — patent drawing 1US20230016466A1 — patent drawing 2
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Most-cited records in this landscape
#Publication no.Patent titleCitations
1US20100277121A1Wireless energy transfer between a source and a vehicle1,008
2US20140049422A1Wireless power system with capacitive proximity sensing349
3US9154189B2Wireless power system with capacitive proximity sensing256
4US20140111019A1Foreign object detection in wireless energy transfer systems250
5US20130094598A1Apparatus, system, and method for detecting a foreign object in an inductive wireless power transfer system193
6US20130257168A1Apparatus, system, and method for detecting a foreign object in an inductive wireless power transfer system b…175
7US20150323694A1Foreign object detection in wireless energy transfer systems154
8US20150372493A1Wireless power system for portable devices under rotational misalignment151
9US20170018977A1Wireless inductive power transfer135
10US20150285926A1Wireless power receiver and/or foreign object detection by a wireless power transmitter133

Citation counts favour older, foundational filings inside this searched corpus — they are a signal of influence on later drafting, not of which patents are commercially active today.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Wireless Power Transfer: Foreign Object Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Competitive Signals

What the ranking and citations show

The assignee ranking and citation table point to a field with one very large family, a handful of strong followers, and a wide base of smaller filers still entering.

Concentration
37.6%
of 1,523 records held by the top 5 assignees combined

One family dwarfs the rest of the ranked leaders

The leading assignee's family of 261 records is more than four times the fifth-ranked entrant's 61, and the top 5 combined account for 37.6% of all records in scope. The top 10 combined reach 51.2% — just over half the field — leaving the other roughly 90 ranked companies, plus everyone outside the ranking, to split the remainder in small increments.

Assignee ranking, 100 companies
Filing momentum
-47%
filing change, 2021 (163) to 2024 (86)

Volume has pulled back from its 2020 peak

Annual filings rose from 115 in 2017 to 198 in 2020, then fell across the following years, with the complete-year window from 2021 to 2024 showing a 47% decline. Later years in the chart will still fill in as publication lag closes, so the 2024 figure is the most recent one worth treating as settled.

Filing trend, 2017-2024
Cited foundations
1,008 citations
on the single most-cited record in the set

Early vehicle wireless-charging patents anchor the citation graph

The most-cited record in this landscape, on wireless energy transfer between a source and a vehicle, carries 1,008 citations — several multiples of the next records on capacitive proximity sensing and inductive foreign-object detection. That gap signals a foundational filing that shaped later claim drafting across the field, rather than a patent still being actively worked around today.

Most-cited records table
Classification gap
1.5%
of records carrying a G06F digital-processing class

Algorithmic detection is thinly claimed relative to power-electronics framing

Only 23 of the 1,523 records, 1.5%, carry a G06F digital-data-processing class, against 90.8% under H02J. Most FOD claims are still drafted around the power-supply circuit rather than the detection algorithm itself, which is one of the clearer openings for a differently framed claim set.

IPC composition table
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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Wireless Power Transfer: Foreign Object Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Next Steps

Where to take this analysis

The figures above describe the field as filed. Turning them into a filing or freedom-to-operate decision means drilling into specific claim sets and specific assignees.

Map the white space around algorithmic detection

With only 1.5% of records carrying a G06F class against a field otherwise dominated by H02J power-electronics framing, claims built around signal-processing or machine-learning-based object discrimination look comparatively open. Check this against live prosecution, not just publication counts.

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Watch the leading family's continuation activity

A single assignee holds 261 of the 1,523 records — more than four times the fifth-place holder's 61. Any freedom-to-operate review in this space should start by tracing that family's most recent continuations and divisionals rather than treating it as a closed, static filing.

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Recheck the 2024-2026 filing tail as data catches up

The 2021-to-2024 window shows a real 47% decline, but 2025 and 2026 figures are still incomplete because of publication lag. Re-pull the trend in six to twelve months before concluding the field is shrinking.

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Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Wireless Power Transfer: Foreign Object Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Wireless Power Transfer: Foreign Object Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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