PEMFC Digital Twin Patent Snapshot 2026
The documented patent evidence snapshot for PEMFC digital twin technology contains a single family, filed by Beihang University and protected only in China, indicating this intersection is at the very earliest stage of formal IP activity. The field is effectively open: no commercial incumbent has staked a patent position, and the technical ground remains almost entirely unoccupied.
A single academic filer holds all documented IP
Beihang University is the sole ranked applicant and accounts for the entire corpus, having filed one patent family directed at digital data processing and data recognition applied to proton-exchange membrane fuel cells.
With one applicant holding 100 percent of the ranked applicants visible in this query’ combined total, concentration is absolute — though that figure reflects the extreme nascency of the field rather than a deliberate lock-in strategy.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Beihang University | 1 |
The visible position of an academic institution, rather than a fuel-cell OEM or systems integrator, suggests that commercial actors have not yet translated digital-twin research for PEMFCs into filed IP, leaving a wide opening for first-mover industrial filings.
The corpus covers the last ten years of global filings; the single family was published in 2018, and subsequent years show no additional activity in the dataset. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
A one-year pulse in 2018, no follow-on activity detected
The annual filing trend and technology composition both reflect a field that has not yet attracted sustained investment; the sole family clusters in two adjacent IPC branches.
Annual filing trend
A single filing appeared in 2018; all other years from 2017 through 2026 register zero. Because patent publication typically lags filing by 18–24 months, very recent periods may be under-counted, but the multi-year gap from 2019 onward is unlikely to close materially.
↗ Hover for values · click a bar to ask EurekaTechnology composition
The lone family spans two IPC branches — G06F (electric digital data processing) and G06K (data recognition and presentation) — reflecting a software-modeling approach to PEMFC simulation rather than electrochemical or materials-based patent coverage.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
一种PEMFC剩余使用寿命预测的方法及装置
本发明公开了一种PEMFC剩余使用寿命预测的方法及装置，涉及燃料电池剩余使用寿命预测技术领域，其方法包括：利用训练好的LSSVM预测模型对预测起始时间点之前的放电电压数据进行初步退化预测，得到所述预测起始时间点之后的放电电压初步预测数据；将所述基于LSSVM预测模型得到的放电电压初步预测数据作为观测值，送入训练好的RPF预测模型，并利用训练好的RPF预测模型对所述预测起始时间点之后的放电电压数据进行精准退化预测，得到所述PEMFC的预测寿命信息；根据所述PEMFC的预测寿命信息和所述预测起始时间点，得到PEMFC的剩余使用寿命信息。 (excerpt from the patent abstract)
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
Beihang University
Beihang University holds 1 patent family in this space, filed in 2018 and classified under G06F digital data processing (sub-classes G06F 119 and G06F 30) and G06K data recognition. No applicant momentum data is available, as only a single filing is on record. The work appears to originate from academic research rather than a product-development program.
families: 1No challenger on record
No second-ranked applicant exists in the current dataset. The challenger slot cannot be filled from evidence. This absence is the most significant structural finding: the field has attracted no competitive filing activity from fuel-cell manufacturers, tier-1 automotive suppliers, or national laboratories.
families: —Frequently asked questions
The current dataset contains 1 patent family. This single family was filed by Beihang University and published in 2018, with no additional families detected in subsequent years through 2026.
Beihang University is the sole and therefore leading filer, holding the only documented patent family in the PEMFC digital twin corpus. No commercial entity or other academic institution appears in the ranking.
China is the only jurisdiction covered by the existing patent family. The United States, European Patent Office, Japan, South Korea, and other major fuel-cell markets have no documented filings from this corpus.
The single family is classified under G06F (electric digital data processing) and G06K (data recognition and presentation). Hardware-oriented branches such as H01M (electrochemical cells) and G05B (process control) are not represented.
A growth trend cannot be established from the evidence. One family was filed in 2018; all years from 2019 through 2026 show zero filings in the dataset. Publication lag may affect very recent periods, but the multi-year gap is not attributable to lag alone.
The most observable gaps are electrochemical cell modeling (H01M branch) and real-time control and fault diagnosis (G05B branch), neither of which appears in the current corpus. Internationally, all major patent offices outside China are uncontested. These observations are based on the sparse existing corpus and should be validated against broader PEMFC and digital-twin prior art.
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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.