PEMFC Control Patent Landscape 2026
PEMFC control patenting is in an active growth phase, led by Chinese universities and anchored overwhelmingly in H01M fuel-cell technology. The field is moderately concentrated at the top but fragmented below, with several new academic and industrial entrants signalling broadening competition.
Chinese universities lead a moderately concentrated field
Zhejiang University holds the top position with 15 patent records, followed by UTC Power Corp with 12 and Southwest Jiaotong University with 8. The top five filers together account for 24% of the hundred largest filers’ combined total, indicating moderate concentration at the apex but a long, fragmented tail.
A clear first tier separates Zhejiang University and UTC Power Corp from the rest. The second tier — Southwest Jiaotong, Xi’an Jiaotong, and Wuhan University of Technology at 7–8 records each — is tightly bunched, suggesting that a single sustained filing push could shift rankings materially.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Zhejiang University | 15 | |
| 2 | UTC Power Corp | 12 | |
| 3 | Southwest Jiaotong University | 8 | |
| 4 | Xi’an Jiaotong University | 7 | |
| 5 | Wuhan University of Technology | 7 | |
| 6 | Haidriver (Qingdao) Energy Technology Co., Ltd. | 5 | |
| 7 | Sichuan Rongchuang New Energy Power System Co., Ltd. | 4 | |
| 8 | Hunan Institute of Science and Technology | 4 | |
| 9 | Ford Motor Company | 4 | |
| 10 | Hangzhou Electric Equipment Manufacturing Co. | 3 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Harbin Institute of Technology | 3 | |
| 12 | South China University of Technology | 3 | |
| 13 | Jilin University | 3 | |
| 14 | Weichai Power Co., Ltd. | 3 | |
| 15 | State Grid Zhejiang Electric Power Co., Ltd. Hangzhou | 3 | |
| 16 | Audi AG | 3 | |
| 17 | UNIV OF ELECTRONICS SCI & TECH OF CHINA | 3 | |
| 18 | Tongji University | 3 | |
| 19 | State Grid Zhejiang Electric Power Co., Ltd. Hangzhou | 3 | |
| 20 | KUNMING UNIV OF SCI & TECH | 3 |
The dominance of academic institutions implies that commercialisation pathways remain open: university portfolios tend to focus on methods and systems rather than product-level claims, leaving room for industrial applicants to build implementable IP around specific subsystems.
Data for the most recent 18–24 months is typically under-counted due to publication lag; apparent filing volumes for 2025 and 2026 will increase as applications publish. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Sustained growth since 2019, anchored in core fuel-cell classification
Annual filing activity accelerated sharply from 2019 onward and the technology mix is heavily weighted toward H01M (fuel cells), with a set of smaller adjacent classes suggesting gradual scope expansion into control systems, AI, and electrification.
Annual filing trend
Filings jumped from single digits before 2019 to a range of 16–29 per year through 2020–2025, with 2023 and 2024 as the highest recorded years. The 2025 and 2026 figures are materially understated by publication lag and should not be read as a slowdown; the 33% recent-window growth rate confirms the field is still expanding.
↗ Hover for values · click a bar to ask EurekaTechnology composition
H01M (batteries, cells, and fuel cells) is the dominant class by a wide margin, reflecting the core electrochemical focus. Secondary classes — G06F (digital data processing), H02J (power supply and grid), G05B (control and regulating systems), B60L (electric vehicle propulsion), and G06N (AI models) — each represent a small but growing fraction, pointing to increasing integration of software-intensive and vehicle-level control approaches.
↗ 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.
Active fault-tolerant temperature control method f…
An active fault-tolerant temperature control method for a proton exchange membrane fuel cell system is disclosed. Firstly, a model of a proton exchange membrane fuel cell temperature control system is established, and a system structure matrix is established according to the model by structural analysis. The system structure matrix is decomposed by using a… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Membrane electrode assembly for PEM fuel cell | 177 |
| 2 | Ion exchange membrane fuel cell power plant with w… | 171 |
| 3 | Ion exchange membrane fuel cell power plant with w… | 102 |
| 4 | 一种水冷型质子交换膜燃料电池热管理系统及其控制方法 | 72 |
| 5 | 燃料电池阳极水管理系统与控制方法 | 65 |
| 6 | 燃料电池空气供给系统模型预测控制方法 | 62 |
| 7 | 质子交换膜燃料电池的建模系统及其智能预测控制方法 | 57 |
| 8 | 一种质子交换膜燃料电池启动和停机控制方法 | 53 |
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.
What the competitive structure means for R&D investment
The combination of growth-stage dynamics, academic leadership, and thin secondary-class coverage shapes where new entrants can differentiate and where incumbents are consolidating.
Growth stage with rising annual volume
The lifecycle assessment classifies PEMFC control as Growth, with annual filings still rising and recent-window growth of 33%. The 2019 inflection point coincides with broader hydrogen economy policy drives in China. The field has not yet reached the saturation phase where incremental differentiation becomes difficult, making now a favourable window for building foundational positions.
Growth stageModerate apex, fragmented mid-tier
The top five filers hold 24% of the hundred largest filers’ combined total — moderate but not prohibitive concentration. Below the top two (Zhejiang University and UTC Power Corp), the mid-tier is closely packed at 7–8 records each, meaning no single challenger has built a dominant secondary position. This fragmentation creates vulnerability for any incumbent that pauses filing activity.
Moderate HHISouthwest Jiaotong and Wuhan University of Technology are the most active co-filers
Southwest Jiaotong University has co-filed with Chengdu Ruiding Technology Industrial Co. (2 joint patents) and with Dongfang Electric (Chengdu) Hydrogen Fuel Cell Technology (1 joint patent). Wuhan University of Technology has co-filed with three State Grid Zhejiang entities and with Foshan Xianhu Laboratory. UTC Power Corp has one recorded collaboration with Schering AG. These pairings suggest academia-industry bridges are forming but remain modest in scale.
Academic-industry bridgesChina dominates; international coverage is thin
China accounts for 164 of the jurisdictional patent records, with the United States at 20, WIPO PCT at 8, and South Korea at 7. Europe (EPO) has only 3 records. The concentration of filings in China reflects where most R&D is occurring, but it also means that many technologies may be unprotected in key automotive and energy markets outside China — a potential freedom-to-operate advantage for non-Chinese entrants.
China-centricGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
| Applicant | Collaborator | Co-filings |
|---|---|---|
| Southwest Jiaotong University | Chengdu Ruiding Technology Industrial Co., Ltd. | 2 |
| UTC Power Corp | Schering AG | 1 |
| Southwest Jiaotong University | Dongfang Electric (Chengdu) Hydrogen Fuel Cell Technology Co., Ltd. | 1 |
| Wuhan University of Technology | State Grid Zhejiang Electric Power Co., Ltd. Electric Power Research Institute | 1 |
| Wuhan University of Technology | State Grid Zhejiang Electric Power Co., Ltd. Ningbo Power Supply Company | 1 |
| Wuhan University of Technology | State Grid Zhejiang Electric Power Co., Ltd. | 1 |
| Wuhan University of Technology | Foshan Xianhu Laboratory | 1 |
Co-filing pairs, ranked by the number of jointly-filed patent families.
Zhejiang University leads; multiple new academic entrants are accelerating
The top two filers diverge sharply on trajectory: Zhejiang University’s momentum has eased while several universities and one industrial player have entered as new filers in the most recent period.
Zhejiang University
Zhejiang University holds 15 patent records, the largest portfolio in the corpus, focused almost exclusively on H01M 8 (fuel cells and control), with one H02J 7 (power supply) record signalling early grid-integration interest. Recent-period momentum shows a 50% decline from its prior rate, suggesting the university may be consolidating or redirecting its filing strategy rather than expanding.
patent records: 15UTC Power Corp
UTC Power Corp holds 12 patent records, entirely concentrated in H01M 8, making it the most narrowly focused major filer. The applicantMomentum data does not show UTC Power Corp among recent active filers, indicating its portfolio may be legacy rather than actively growing. Despite this, its depth in core fuel-cell control IP positions it as a significant prior-art reference point for any new entrant.
patent records: 12| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Zhejiang University | 5 | ▼ -50% |
| Southwest Jiaotong University | 3 | ▲ new entrant |
| Xi’an Jiaotong University | 2 | ▲ new entrant |
| Wuhan University of Technology | 3 | ▲ new entrant |
| Haidriver (Qingdao) Energy Technology Co., Ltd. | 1 | ▲ new entrant |
| Hunan Institute of Science and Technology | 2 | ▲ new entrant |
| Foshan Xianhu Laboratory | 3 | ▲ new entrant |
Under-served IPC branches adjacent to the dominant fuel-cell class
Several IPC classes appear in the corpus at low record counts relative to H01M, indicating areas where technical activity intersects with PEMFC control but dedicated patent coverage is sparse. These are observations of relative sparsity; their value as entry points depends on each organisation’s technical capabilities and product roadmap.
G06N · AI and machine-learning models for PEMFC control
G06N (computing based on AI models) appears with only 6 records in the corpus — 2% of the IPC distribution — despite clear technical relevance: data-driven predictive control, reinforcement-learning-based power management, and neural-network state estimators are active research topics. The sparse patent coverage suggests that most AI-control work is either published as literature or has not yet migrated into patent filings. Organisations with AI/ML capabilities and PEMFC system knowledge could build differentiated positions here before the class densifies.
Search this in Eureka →B60L · Vehicle-level electric propulsion integration
B60L (electric vehicle propulsion) holds only 6 records, despite fuel-cell electric vehicles being a primary commercial application. Most filers concentrate claims in H01M at the stack or system level, leaving the vehicle-integration layer — including traction power management, regenerative braking coordination, and multi-source energy dispatch — relatively unclaimed. Industrial entrants with automotive systems expertise may find this branch more accessible than the crowded core H01M space.
Search this in Eureka →How leading filers differ across technology routes
Route coverage across the main technology branches in the current evidence set.
| Player | H01M 8 · Batteries, cells & fuel cells | G05B 13 · Control & regulating systems | G06F 17 · Electric digital data processing | G06N 3 · Computing based on AI models | B60L 58 · Electric vehicle propulsion |
|---|---|---|---|---|---|
| UTC Power Corp | Strong · 15 | Absent | Absent | Absent | Absent |
| Zhejiang University | Strong · 15 | Absent | Absent | Absent | Absent |
| Southwest Jiaotong University | Strong · 12 | Emerging · 1 | Emerging · 2 | Absent | Absent |
| Wuhan University of Technology | Strong · 7 | Absent | Absent | Emerging · 1 | Emerging · 1 |
| Xi’an Jiaotong University | Strong · 7 | Absent | Emerging · 1 | Emerging · 1 | Absent |
| Haidriver (Qingdao) Energy Technology Co., Ltd. | Strong · 5 | Absent | Absent | Absent | Absent |
| Foshan Xianhu Laboratory | Strong · 4 | Absent | Absent | Absent | Moderate · 1 |
Frequently asked questions
The corpus covers 166 patent families in scope, reflecting global filings across the PEMFC control domain.
Zhejiang University leads with 15 patent records, followed by UTC Power Corp with 12 and Southwest Jiaotong University with 8.
The field is classified as Growth. Annual filings have risen from 4 in 2017 to a peak of 29 in 2024, and the recent-window growth rate stands at 33%. The most recent years are understated by publication lag.
China dominates with 164 patent records. The United States follows with 20, WIPO PCT with 8, South Korea with 7, and Europe (EPO) with only 3.
H01M (batteries, cells, and fuel cells) is the dominant class by a wide margin. Secondary classes include G06F (digital data processing), H02J (power supply and grid systems), G05B (control and regulating systems), B60L (electric vehicle propulsion), and G06N (AI models).
G06N (AI and machine-learning models) and B60L (vehicle-level electric propulsion integration) each appear with only 6 records in the corpus, representing sparse coverage relative to their technical relevance to PEMFC control applications.
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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.