Li-Ion SOH/SOC Monitoring Patent Snapshot 2026
The Li-ion SOH/SOC monitoring field is in a Growth stage, with filing activity expanding strongly on a multi-year basis — driven primarily by academic institutions rather than established industrial incumbents. The field peaked in 2023 and annual volume has eased since, though the most recent years remain undercounted due to publication lag.
University consortia lead a moderately concentrated, academically-driven field
The top-ranked filer, Universite Libre de Bruxelles, shares the lead position with McMaster University and the Trustees of Columbia University, each holding 4 patent records — a flat-topped ranking that signals no single visible industrial player has yet established a controlling position.
The top five filers together account for 33% of the ranked applicants visible in this query’ combined total, indicating moderate concentration. The ranking is further compressed by the presence of multiple tied applicants, with no clear tier gap separating the leader from challengers.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Universite Libre de Bruxelles | 4 | |
| 2 | McMaster University | 4 | |
| 3 | The Trustees of Columbia University in the City of New York | 4 | |
| 4 | Northeastern University (China) | 2 | |
| 5 | Smartkosh Technologies Pte Ltd | 2 | |
| 6 | TotalEnergies One Tech | 2 | |
| 7 | TotalEnergies Onetech SAS | 2 | |
| 8 | Indira Gandhi Delhi Technical University for Women | 2 | |
| 9 | Jiangsu University | 2 | |
| 10 | Regents of the University of California | 2 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | University of California, Berkeley | 2 | |
| 12 | Indian Institute of Technology | 1 | |
| 13 | Dr. R. Kiran Kumar | 1 | |
| 14 | Dr. Shaik Nagul | 1 | |
| 15 | A. Venkata Mahesh | 1 | |
| 16 | Dr. M. Jayanthi Rao | 1 | |
| 17 | Su-vastika Systems Pte Ltd | 1 | |
| 18 | Bridge Green Upcycle Corp | 1 | |
| 19 | South China University of Technology | 1 | |
| 20 | University of South Carolina | 1 |
Academic leadership at this stage implies that core inventive activity remains close to fundamental methodology — neural-network estimation, equivalent-circuit modeling, and deep-learning inference — rather than productized, system-level integration. This creates a window for industrial players to build on open academic prior art.
Filing counts for 2024–2026 are understated due to standard patent publication lag and should not be read as a slowdown in underlying inventive activity. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
A 2023 filing surge anchors growth; electrical measurement dominates the technology mix
Two charts frame the evidence snapshot: annual filing volume reveals a field that expanded sharply into 2023 before easing, while technology composition shows a clear concentration in measurement and battery-cell classes with several adjacent areas comparatively sparse.
Annual filing trend
Filing activity was intermittent from 2017 to 2022 before a pronounced surge to 13 records in 2023 — the field’s peak year. Counts for 2024–2026 are suppressed by publication lag and do not represent real-world activity levels; the three-year recent window still sits 300% above the prior comparable window, confirming the field remains in growth.
↗ Hover for values · click a bar to ask EurekaTechnology composition
G01R (Electric and magnetic measurement) is by far the visible IPC class, reflecting the core metrological and signal-processing character of SOH/SOC work. H01M (Batteries, cells and fuel cells) is the second branch, followed by G06N (AI-based computing), which captures the machine-learning estimation methods that define the most-cited work. B60L (EV propulsion), H02J (power supply), and G16Y (IoT) are each sparsely populated, pointing to adjacent application domains that remain underexplored.
↗ 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.
Method for state of health and electrode state of …
Battery management systems (BMSs) are required to estimate many non-measurable values that describe the actual operating condition of batteries, such as the state of charge (SOC) or the state of health (SOH). In order to improve this evaluation, many physical states and parameters can be estimated using physics-based models (PBMs). These estimates could be… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Neural-network state-of-charge and state of health… | 122 |
| 2 | 一种锂离子电池故障诊断方法 | 34 |
| 3 | Gas-liquid dynamic model-based accurate lithium-io… | 18 |
| 4 | 基于双级模型预测的锂离子电池组外部短路故障诊断方法 | 9 |
| 5 | Simulating battery dynamics with equivalent circui… | 8 |
| 6 | Neural-network state-of-charge and state of health… | 7 |
| 7 | State-of-health estimation pipeline for li-ion bat… | 5 |
| 8 | Lebesgue sampling-based deep belief network for li… | 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.
Universite Libre de Bruxelles
Universite Libre de Bruxelles holds 4 patent records and entered the corpus as a new entrant, indicating its portfolio was built entirely within the recent filing window. Its technology focus spans G01R 31 (electrical measurement) and H01M 10 (battery cells), and it co-files with both the Regents of the University of California and TotalEnergies Onetech SAS — the latter being the field’s most prominent industry-academia linkage.
patent records: 4TotalEnergies Onetech SAS
TotalEnergies Onetech SAS holds 2 patent records under its SAS entity (with a related TotalEnergies One Tech entity also present in the ranking) and entered as a new entrant with 4 recent records across both entities combined. Its focus is on G01R 31 measurement and H01M 10 battery classes, and it is the only energy-industry major visibly collaborating with multiple academic leaders in this corpus — a position that could accelerate translation of academic methods into deployable technology.
patent records: 2Frequently asked questions
The analysis covers 30 patent families in scope. Filing activity has been intermittent since 2017 but surged to 13 records in 2023, the field’s peak year, before easing in subsequent years.
Universite Libre de Bruxelles, McMaster University, and the Trustees of Columbia University in the City of New York are co-equal leaders, each holding 4 patent records. All entered the corpus as new entrants, confirming the field’s early-stage character.
India leads with 11 patent records, followed by the United States with 10, WIPO PCT with 4, China with 3, and Europe via the EPO with 2. India’s lead reflects heavy academic and individual-inventor activity rather than industrial deployment.
G01R (Electric and magnetic measurement) is the leading IPC class. Neural-network and deep-learning estimation methods — captured under G06N — are prominent in the most-cited works, with equivalent-circuit modeling also well represented.
Yes. The most active co-filing pairs each share 4 joint records: McMaster University with Columbia University; Universite Libre de Bruxelles with the Regents of the University of California; and TotalEnergies Onetech SAS paired separately with both Universite Libre de Bruxelles and the Regents of the University of California.
B60L (Electric vehicle propulsion), G16Y (IoT data processing), B64F (Ground installations for aircraft), G06F (Digital data processing), and H02J (Power supply and grid systems) each carry low patent-record counts. B60L and G16Y are particularly notable given the commercial relevance of EV and fleet-scale battery monitoring applications.
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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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