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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →The dataset behind this page holds only 11 published families, spanning 2015 through the partial 2026 year. Filing was flat through the middle of the period and only began climbing toward the peak year of 2024, when 4 families published — evidence that the claim space around pad alignment, foreign object detection and dynamic wireless charging is still being staked out rather than consolidated.
Because publication trails filing by roughly 18 months, the 2025 and 2026 counts in any trend line understate real activity — recent filings are still working through the pipeline and have not all surfaced yet.
Pick a task. Every answer cites the patents behind it.
Two views of the same 11-family set: how filing activity has moved over time, and which IPC subclasses carry the technical weight.
Filings sat at zero as recently as the 2022 midpoint before climbing to a peak of 4 in 2024, with 2026 only partially reported. The shape is an early acceleration curve, not a plateau — read the tail years as a floor, not a ceiling.
B60L (electric vehicle propulsion) appears in 10 of the 11 records, confirming that most filings are framed as vehicle-side charging control rather than grid infrastructure. H02J (power supply and grid systems) appears in 6 records, and H01F (magnetics, inductors and transformers) in only 2 — the coil and magnetic-component layer is comparatively thin.
Shares are the percentage of the 11 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about wireless charging for electric vehicles and every answer comes back with the patent numbers behind it.
Try EurekaThe method receives position detection signals from a set of detection coils, generated from mutual inductance with an energized field-generating detection coil. It derives lateral misalignment along a Y axis, including both distance and direction, and calculates vehicle speed along a longitudinal X axis from the same detection information.Filed by Utah State University; the earlier-published sibling application from the same family, US20190097471A1, is the most-cited document in this dataset at 53 citations.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20190097471A1 | Vehicle misalignment measurement and compensation in dynamic wireless charging applications | 53 |
Citation counts inside a searched corpus favour older documents; treat this as a signal of influence on later filings, not of current commercial weight.
Publication numbers are shown where the record carries one (1 of 1 rows); clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three findings that shape where a new filing would sit relative to existing claims.
A midpoint of zero filings followed by a peak of 4 in 2024 means the field only recently became active. There is no long trend to extrapolate from, and the 2025-2026 figures will rise further as pending applications publish.
Nearly every record in the set is classified under electric vehicle propulsion (B60L), with power-supply and grid classifications (H02J) appearing in just over half. The magnetics layer (H01F) is present in only 2 records, suggesting coil and transformer design is comparatively under-filed relative to control-and-detection claims.
US20190097471A1, on misalignment measurement and compensation, is cited far more than any other record in this dataset. Later filings on alignment and foreign object detection are likely to sit downstream of this family's claim scope.
Every assignee tracked for year-on-year momentum shows either zero activity in the latest year or a full drop from the prior year, aside from a single new entrant. This is consistent with a field of one-off academic and small-institution filings rather than a corporate portfolio build-out.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to wireless charging for electric vehicles, with the prior art for and against each one.
With only 11 families across the dataset, no assignee has built a multi-year filing programme yet. The receiving-office spread — India, WIPO, Europe and the United States — points to filings originating from academic and research institutions seeking broad early coverage rather than a single home market.
The only assignee with a filing recorded in the most recent year, suggesting new academic entrants are still arriving even as earlier filers go quiet.
Holder of the most-cited record in the dataset, covering misalignment measurement and compensation for dynamic wireless charging — the technical anchor other alignment-detection filings sit against.
An established power-electronics supplier with prior activity in this set but no filings recorded in the latest year, consistent with the broader pattern of no sustained repeat filer yet.
| Assignee | Recent year | YoY |
|---|---|---|
| SALEM COLLEGE OF ENGINEERING & TECHNOLOGY | 1 | — |
| Brusa Elektronik | 0 | -100% |
| Utah State University | 0 | — |
| SR UNIVERSITY | 0 | -100% |
| R M D ENG COLLEGE | 0 | -100% |
| MANIPAL UNIVERSITY JAIPUR | 0 | -100% |
The dataset is small enough that a single new filing can shift the picture — these are the next steps worth taking before drafting.
Before drafting alignment or misalignment-detection claims, check scope against US20190097471A1 and its family, which anchors citation activity in this dataset.
Explore in Patsnap EurekaRoadway-embedded coil segmentation and EMF compliance at high power show little dedicated coverage yet — early filings there face a thinner prior-art landscape.
Explore in Patsnap EurekaNo assignee currently shows sustained year-on-year filing. The first one to do so will mark the shift from research filings to a commercial portfolio strategy.
Explore in Patsnap EurekaThis dataset covers 11 published patent families between 2015 and mid-2026, filtered to pad alignment, foreign object detection, efficiency-at-gap, EMF compliance and roadway integration claims within B60L, H02J and H01F classifications. That is a narrow, technically specific slice rather than the entire wireless-power field, so broader searches on wireless power transfer generally will return far more. The small count itself is informative: it shows this specific combination of claim elements is still lightly filed.
No single organisation dominates this dataset; filings are spread across academic institutions and a small number of industrial suppliers, with Utah State University holding the most-cited record and Salem College of Engineering & Technology showing the only filing in the latest year. Year-on-year momentum figures show most named assignees at zero or a full drop from the prior year, which means this is not yet a field with an established incumbent filing a steady annual programme. Anyone tracking this space should expect the leaderboard to shift quickly as new filings publish.
US10784725B2, assigned to Utah State University, covers a method for measuring vehicle misalignment during dynamic wireless charging using signals from multiple detection coils energized by mutual inductance. It calculates lateral misalignment distance and direction along one axis and vehicle speed along the perpendicular axis from the same detection data. Its earlier-published sibling application, US20190097471A1, is the most-cited document in this dataset, indicating the technique has influenced later alignment-detection filings.
Based on the IPC composition here, coil and magnetic-component design (H01F) appears in only 2 of 11 records compared with 10 for vehicle-side propulsion control (B60L), suggesting the physical coil and transformer layer is comparatively under-claimed relative to control and detection logic. Specific branches with little dedicated coverage include roadway-embedded coil segmentation, EMF exposure compliance at higher power levels, and multi-vehicle dynamic charging handoff. These are worth checking against the fuller prior-art corpus before assuming they are genuinely open, since this dataset is a filtered slice rather than the whole field.
Filing is accelerating rather than slowing. The midpoint year of 2022 recorded zero filings in this dataset, and activity climbed to a peak of 4 families in 2024. Because publication typically lags filing by around 18 months, the 2025 and 2026 figures shown here are still incomplete and will likely rise as pending applications publish, reinforcing that this is an early-growth period rather than a plateau.
Go past this page: query the whole wireless charging for electric vehicles corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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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