EDLC State-of-Health AI/ML Patent Snapshot 2026
The EDLC state-of-health AI/ML patent field is a nascent but rapidly accelerating space, with the field expanding on a multi-year basis even as annual volume eased from its 2022 peak. Two applicants share the lead position, and the top five filers account for nearly half of all activity among the hundred largest filers, signalling an early-mover concentration that leaves meaningful room for challengers.
Two co-leaders dominate a small but fast-moving field
Sustainable Energy Technologies Inc and Kyocera AVX Components Corp each hold the top position in the applicant ranking, with the next-ranked filer, Korea Electric Power Corp, sitting at half that level — a clear tier gap at the very top.
The top five filers account for roughly 46% of the combined activity of the ranked applicants visible in this query, indicating moderate-to-high concentration for such an early-stage field. Below the top three, the ranking fragments quickly into single-record contributors, including universities, independent inventors, and energy utilities.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Sustainable Energy Technologies Inc | 8 | |
| 2 | Kyocera AVX Components Corp | 8 | |
| 3 | Korea Electric Power Corp | 4 | |
| 4 | Indian Institute of Technology (BHU) Varanasi | 2 | |
| 5 | Zhejiang University of Technology | 1 | |
| 6 | Prof. Poorna Chandra Reddy Alla | 1 | |
| 7 | Dr. P. Sekhar Babu | 1 | |
| 8 | ShanghaiTech University | 1 | |
| 9 | Singh Karuna Nidhan | 1 | |
| 10 | State Grid Sichuan Electric Power Company Neijiang Power Supply Company | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Annapoorana Engineering College (Autonomous) | 1 | |
| 12 | Indian Oil Corporation Ltd | 1 | |
| 13 | Shanghai Aowei Technology Development | 1 | |
| 14 | Helen P. Kavitha | 1 | |
| 15 | Panwar Amrish K. | 1 | |
| 16 | Google LLC | 1 | |
| 17 | Gupta Lalit Kumar | 1 | |
| 18 | Trivedi Uday Nandlal | 1 | |
| 19 | Jiangxi Vocational College of Mechanical and Electrical Technology | 1 | |
| 20 | Nanospan India Pte Ltd | 1 |
The leading positions of a component manufacturer (Kyocera AVX) alongside an energy-storage system integrator (Sustainable Energy Technologies) suggest that EDLC SOH AI/ML IP is being built simultaneously at the device and system levels, which has implications for freedom-to-operate across the value chain.
Patent publication typically lags filing by 18–24 months, so activity in the most recent period is under-counted; the true current filing pace is likely higher than the visible record suggests. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Multi-year growth surge with a broad technology mix anchored in capacitor and measurement classes
The filing trend and technology composition together reveal a field that expanded dramatically on a multi-year basis — recent three-year filings are sharply above the prior three-year window — while drawing on an unusually wide spread of IPC classes beyond the core capacitor class.
Annual filing trend
Filings were minimal before 2018, spiked in 2022, eased in 2023, and show a notable uptick again in 2025; the 2025–2026 bars are almost certainly understated due to publication lag and should not be read as a plateau or decline.
↗ Hover for values · click a bar to ask EurekaTechnology composition
H01G (Capacitors) is the visible class, followed by G01R (Electric and magnetic measurement) and G06N (AI models) at equal weight, confirming that AI/ML inference methods are now a co-equal technical axis alongside physical measurement in EDLC SOH work; downstream classes such as H02J (power supply and grid) and B60L (electric vehicle propulsion) indicate growing system-level and application-level patenting.
↗ 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.
Supercapacitor to electrochemical hybrid system wi…
A method for powering an electric vehicle including an electrochemical battery and one or more supercapacitor batteries includes determining self-discharge rate data for the one or more supercapacitor batteries and, in response to the self-discharge rate data satisfying at least one threshold condition, notifying a user to charge the one or more… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Supercapacitor Module having Matched Supercapacitors | 8 |
| 2 | Supercapacitor system with temperature control | 6 |
| 3 | Supercapacitor to electrochemical hybrid system wi… | 6 |
| 4 | Supercapacitor to electrochemical hybrid system wi… | 5 |
| 5 | Supercapacitor to electrochemical hybrid system wi… | 5 |
| 6 | Supercapacitor to electrochemical hybrid top-off s… | 5 |
| 7 | Monitoring and managing temperature of power packs | 5 |
| 8 | Supercapacitor module having matched supercapacitors | 4 |
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.
Sustainable Energy Technologies Inc
Holds the top position with 8 patent records and entered the corpus as a new entrant in the recent filing window, suggesting a concentrated and deliberate IP push rather than a long-accumulated portfolio. Its technology focus spans H01G 11 (Capacitors), G01R 31 (measurement), and notably F24F 11 (air conditioning and ventilation), pointing to system-level SOH integration across energy storage and HVAC applications.
patent records: 8Kyocera AVX Components Corp
Matches the leader with 8 patent records, with a strong concentration in H01G 11 (Capacitors) and secondary presence in G01R electric measurement classes. As a major EDLC component manufacturer, Kyocera AVX’s IP position is anchored at the device level. The most-cited patent in the corpus — covering supercapacitor modules with matched supercapacitors — is consistent with this component-centric strategy.
patent records: 8Frequently asked questions
The current corpus contains 38 patent families in scope. This is a small but rapidly growing field; the most recent filing years are further understated by publication lag, so the true accumulated total is likely higher.
Sustainable Energy Technologies Inc and Kyocera AVX Components Corp share the top position. Korea Electric Power Corp ranks third, followed by the Indian Institute of Technology (BHU) Varanasi and Zhejiang University of Technology.
The field is in a Growth stage. Recent three-year filings are substantially above the prior three-year window, representing a roughly 1,300% increase. Annual volume peaked in 2022 and has eased since, though the most recent years are understated by publication lag.
India leads with the most patent records, followed by China and the United States at equal levels. WIPO PCT and EPO filings indicate applicants seeking broader international protection, and South Korea also appears as an active jurisdiction.
H01G (Capacitors) is the leading class, followed by G01R (Electric and magnetic measurement) and G06N (AI models) at equal weight. This confirms that AI/ML inference methods are now a co-equal technical pillar alongside physical measurement in EDLC SOH work.
No co-applicant collaboration pairs are present in the current corpus. The field’s early stage may explain this; organisations appear to be building independent IP positions before forming cross-entity arrangements. This is an area to monitor in future filing cycles.
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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.
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