E-Drive Condition Monitoring Patent Snapshot 2026
The indexed corpus for E-Drive Condition Monitoring currently comprises only 2 patent families, both filed by SR University in India, indicating an extremely nascent or narrowly indexed field. Activity appears confined to a single academic institution, with no corporate filers, cross-border filings, or prior-year activity visible in the evidence.
SR University holds all indexed activity — full concentration in a two-family corpus
SR University is the sole ranked applicant, accounting for all 2 patent families in the current corpus. No other applicant appears in the ranking, making this the most concentrated possible visible assignee structure.
With the top five filers holding 100% of the ranked applicants visible in this query’ combined total — and only one filer present — there is no meaningful tier gap to analyse; the field is effectively a single-institution domain within this dataset.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | SR University | 2 |
SR University’s position as the only filer implies either that commercial actors have not yet entered patent protection in this specific framing of E-Drive Condition Monitoring, or that the corpus scope has not yet captured broader industrial activity.
The two filings appear in 2025 and 2026, which fall within the typical 18–24 month publication lag window; the corpus should be treated as a preliminary signal rather than a mature evidence snapshot. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
All activity concentrated in 2025–2026; control systems and EV propulsion dominate the technology mix
The annual filing trend and technology composition together describe a field with no recorded activity before 2025 and a narrow but technically coherent set of IPC classes spanning control systems, EV propulsion, and AI-based computing.
Annual filing trend
Zero filings are recorded from 2017 through 2024; one family each appears in 2025 and 2026. Both years fall within the publication lag window, so the true extent of recent activity may be underrepresented and should not be read as a settled trend.
↗ Hover for values · click a bar to ask EurekaTechnology composition
G05B (Control and regulating systems) is the most represented class, appearing against both families. B60L (Electric vehicle propulsion), G01R (Electric and magnetic measurement), G06F (Electric digital data processing), G06N (AI-based computing), and G07C (Time/attendance and checking devices) each appear once, indicating a multi-class approach that combines vehicle diagnostics, sensing, and machine-learning methods.
↗ 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.
Digital twin-based system for predictive maintenan…
A digital twin-based system (100) for predictive maintenance of Electric Vehicle (EV) powertrain components is disclosed. The system (100) comprises a detection unit (102) configured to collect real-time operational data of an Electric Vehicle (EV) powertrain. The real-time operational data is selected from a battery health, state of charge (SOC)… (excerpt from the patent abstract)
Open this patent in Eureka →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.
SR University
SR University holds all 2 patent families in the corpus. Its technology focus spans B60L 15 (electric vehicle propulsion control), B60L 3 (EV safety and monitoring), and G01R 31 (electrical measurement and testing), indicating a focus on real-time diagnostics and condition monitoring of electric drive systems. No momentum data from prior periods is available for trend comparison.
families: 2No challenger identified
No second applicant appears in the ranked corpus. A challenger profile cannot be constructed from the available evidence. Future monitoring should watch for entry by automotive OEMs, Tier-1 suppliers, or power electronics specialists who would be natural candidates to challenge or complement SR University’s early filings.
families: —Frequently asked questions
The current corpus contains 2 patent families. Both were filed by SR University in India, with one appearing in 2025 and one in 2026.
SR University is the only ranked applicant, holding all 2 patent families in the indexed corpus. No corporate or international filers appear in the current dataset.
India is the sole jurisdiction of record, with both families filed there. No PCT, US, European, or Chinese equivalents are present in the current corpus.
G05B (Control and regulating systems) appears against both families. B60L (Electric vehicle propulsion), G01R (Electric and magnetic measurement), G06F (Electric digital data processing), G06N (AI-based computing), and G07C (Time/attendance and checking devices) each appear once.
Zero filings are recorded from 2017 through 2024. However, the two active filings (2025 and 2026) fall within the typical 18–24 month publication lag window, so the full scope of recent activity may not yet be reflected. The pre-2025 absence is more likely to be a reliable signal, though corpus scope should also be considered.
No citation data is available for the current corpus. The representative filings identified are IN202541021033A and IN202641061516A, both from SR University, but citation metrics have not been computed for this dataset.
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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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