Li-Ion Battery Digital Twin Patent Snapshot 2026
The li-ion battery digital twin field is in a Growth stage, with a 55% increase in recent filing activity and no sign of peak saturation. Robert Bosch GmbH leads among industrial applicants, while academic institutions—particularly McMaster University and Columbia University in a documented co-filing partnership—collectively account for a large portion of activity, reflecting a research-driven evidence snapshot.
Academic institutions dominate; Robert Bosch leads among industry filers
Robert Bosch GmbH holds the top position with 8 patent records, followed by McMaster University and Columbia University each with 5, and Tsinghua University with 4. The top five filers together account for 42% of the combined total across the ranked applicants visible in this query, indicating moderate-to-high concentration within a still-small corpus.
The gap between the first-ranked industrial applicant (Bosch, 8 records) and the academic co-leaders (McMaster and Columbia, 5 records each) is narrow. Beyond the top five, the field fragments quickly into single- and two-record filers, many of them universities and independent researchers, suggesting the technology has not yet attracted deep industrial commitment from a broad set of companies.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Robert Bosch GmbH | 8 | |
| 2 | McMaster University | 5 | |
| 3 | The Trustees of Columbia University in the City of New York | 5 | |
| 4 | Tsinghua University | 4 | |
| 5 | University of South Carolina | 3 | |
| 6 | Carnegie Mellon University | 2 | |
| 7 | TWAICE Technologies GmbH | 2 | |
| 8 | Honeywell International Inc. | 2 | |
| 9 | Jiangsu University | 2 | |
| 10 | Koneru Lakshmaiah Education Foundation | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Dr. Dhanalakshmi Gopal | 1 | |
| 12 | Nanjing Tech University | 1 | |
| 13 | Arizona Board of Regents on behalf of the University of Arizona | 1 | |
| 14 | Shanghai Makesens Energy Storage Technology Co., Ltd. | 1 | |
| 15 | National Institute of Technology | 1 | |
| 16 | Mondragon Goi Eskola Politeknikoa Jose Maria Arizmendiarrieta | 1 | |
| 17 | Dr. G. Balaraman | 1 | |
| 18 | Mr. Siddanathi Nageswara Rao | 1 | |
| 19 | Dr. Selvakumar S. | 1 | |
| 20 | Shanghai Aerospace Power Technology Co., Ltd. | 1 |
Bosch’s lead, grounded in battery cell and fuel-cell IPC classes alongside control systems and power supply, signals an intent to own the industrially deployable layer of digital twin technology. Academic leaders, by contrast, concentrate on measurement and AI-model classes, pointing to the foundational modeling work that commercial players will need to license or replicate.
Filings from approximately 2024–2026 are subject to publication lag and are therefore under-counted; the apparent volume for those years should be treated as a floor, not a ceiling. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Filing activity accelerating; measurement and AI branches dominate the technology mix
Two charts together reveal a field that is growing in volume and consolidating around a core set of IPC classes, with meaningful adjacent branches still lightly occupied. The trend chart traces annual filing activity from 2017 through 2026; the composition chart maps how patent records distribute across technology classes.
Annual filing trend
Activity was sparse from 2017 through 2022, averaging two to four filings per year, before climbing to five in 2023 and nine in 2024—the highest single-year total in the dataset. The 2025 and 2026 figures (five and three, respectively) reflect publication lag and should not be read as a plateau or decline; the underlying growth trajectory remains intact. The 55% recent-period growth rate confirms the acceleration.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Electric and magnetic measurement (G01R) and batteries and fuel cells (H01M) together account for the two largest branches, reflecting the diagnostic and state-estimation core of digital twin work. AI-model computing (G06N) and digital data processing (G06F) are the next most active classes, confirming that machine-learning inference sits at the heart of most filings. Power supply and grid systems (H02J) and electric vehicle propulsion (B60L) each appear in a smaller but coherent cluster, pointing to application-layer work that remains relatively sparse.
↗ 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 updating state of charge based on power…
A method for updating a state of charge based on power characteristics of an electrochemical model of a lithium-ion battery includes obtaining an initial state of charge of a battery and a current sequence with a constant amplitude; obtaining a port voltage of the battery at each moment within a preset time period based on the initial state information… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Neural-network state-of-charge and state of health… | 122 |
| 2 | System and method for estimation of battery state … | 42 |
| 3 | Method and system for estimating a capacity of ind… | 22 |
| 4 | Gas-liquid dynamic model-based accurate lithium-io… | 18 |
| 5 | 基于多约束条件粒子群优化算法的锂电池组参数辨识方法 | 17 |
| 6 | 锂离子电池电化学模型电极层结构参数的确定方法 | 16 |
| 7 | System and method for fast charging of lithium-ion… | 13 |
| 8 | State Value for Rechargeable Batteries | 12 |
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.
Robert Bosch GmbH
Bosch holds 8 patent records, the largest portfolio in the corpus. Its technology focus spans battery cell and fuel-cell classes (H01M 10), control and regulating systems (G05B 13), and power supply systems (H02J 7)—a combination that maps to production-ready battery management and digital twin deployment rather than foundational modeling. Momentum data for Bosch is not broken out in the applicant momentum evidence, but its ranking position and technology breadth suggest an established and purposeful filing program rather than a new entrant surge.
8 patent recordsMcMaster University
McMaster University holds 5 patent records and is classified as a new entrant in the momentum data, indicating its filings are concentrated in the recent window. Its technology focus combines electric and magnetic measurement (G01R 31), AI-model computing (G06N 3), and battery cell classes (H01M 10)—a profile consistent with physics-informed neural network approaches to state estimation. McMaster’s co-filing relationship with Columbia University (5 jointly filed records) amplifies its effective portfolio and makes the partnership the visible academic force in the field.
5 patent recordsFrequently asked questions
The corpus covers 38 patent families in scope. This is a nascent but growing field; the 55% recent-period growth rate and the 2024 annual peak of nine filings indicate the corpus will expand meaningfully over the next several years.
Robert Bosch GmbH leads with 8 patent records, the highest count among all applicants. McMaster University and Columbia University each hold 5 patent records and are co-filers on a documented partnership, making them the visible academic presence.
The evidence classifies the field as Growth. Annual filings are still rising, and the 55% recent-period increase confirms upward momentum. The 2025 and 2026 filing counts are understated due to publication lag and should not be interpreted as a slowdown.
Electric and magnetic measurement (G01R) and batteries and fuel cells (H01M) are the two most active classes. AI-model computing (G06N) and digital data processing (G06F) follow, reflecting the central role of machine-learning inference in digital twin state estimation.
The United States leads all jurisdictions, followed by India and China. WIPO PCT and European Patent Office filings are present in smaller numbers. Germany and South Korea each have one filing. The US dominance reflects both Bosch’s filing strategy and the concentration of leading North American academic filers.
Yes. The only confirmed co-filing relationship in the evidence links McMaster University and Columbia University, with 5 jointly filed patent records between them. No industry-to-industry or cross-sector co-filing pairs are identified in the evidence at this time.
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