EV Powertrain Control AI/ML Patent Snapshot 2026
The EV Powertrain Control AI/ML patent space is in an early growth phase, with Secondmind Ltd holding the largest single position among a fragmented field dominated by individual inventors and academic institutions. Filing activity has risen sharply on a multi-year basis, with India emerging as the leading filing jurisdiction and propulsion-control (B60L) as the dominant technology branch.
Secondmind leads a highly fragmented, early-stage field
Secondmind Ltd ranks first with 3 patent records, followed by Volvo Car Corporation with 2. The remaining ranked filers each hold a single patent record, indicating an extremely fragmented visible assignee structure with no visible bloc.
The top five filers account for 29% of the combined total among the ranked applicants visible in this query — a low concentration figure consistent with a nascent technology where no single player has established a commanding portfolio position. No clear second tier has emerged yet.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Secondmind Ltd | 3 | |
| 2 | Volvo Car Corporation | 2 | |
| 3 | Dr. Ravi Dharavath | 1 | |
| 4 | Potential Motors Inc | 1 | |
| 5 | Ramakoti | 1 | |
| 6 | Bharathi K | 1 | |
| 7 | Thota Vinay Kumar | 1 | |
| 8 | John De Britto C | 1 | |
| 9 | Dr. M. Ramesh Babu | 1 | |
| 10 | Devikalyani R | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Dr. K. Chandrasekran | 1 | |
| 12 | Dr. A. Vijender | 1 | |
| 13 | Dr. I. Baraniiingesan | 1 | |
| 14 | SANDIP INST OF TECH & RES CENT | 1 | |
| 15 | Lavanya Devi S | 1 | |
| 16 | Dr. Neeraj Kumar | 1 | |
| 17 | Ohio State Innovation Foundation | 1 | |
| 18 | Dr. Ravi Bukya | 1 | |
| 19 | Lakshmi G | 1 | |
| 20 | Sandip University Sijoul | 1 |
Secondmind Ltd’s position reflects early IP-building around AI-driven electric vehicle propulsion control, while Volvo Car Corporation’s presence signals that at least one established OEM is staking early claims. The majority of other applicants are individual inventors and Indian academic institutions, which suggests the field has not yet attracted sustained investment from major automotive or semiconductor incumbents.
Filings from approximately the past 18–24 months are likely under-counted due to standard patent publication lags; the most recent period should be interpreted with that caveat. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Filing activity has accelerated since 2024; propulsion control dominates the technology mix
The annual filing trend and the technology branch composition together reveal a field that is expanding rapidly from a small base, concentrated in a single IPC class but with scattered secondary branches that hint at broader technical scope.
Annual filing trend
Activity was negligible from 2017 through 2023 (at most one filing per year), then rose sharply in 2024 and remained elevated into 2025 and 2026. The lifecycle evidence confirms annual filings are still rising; 2025 and 2026 figures are understated by publication lag and should not be read as a plateau.
↗ Hover for values · click a bar to ask EurekaTechnology composition
B60L (electric vehicle propulsion) is the visible branch, reflecting the core powertrain control focus. G06N (AI model computing) and B60W (hybrid/joint vehicle control) form a meaningful secondary cluster. Several other branches — including measurement, materials, and data processing — appear with only one patent record each, indicating experimental or tangential coverage rather than sustained R&D focus.
↗ 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.
Electric vehicle powertrain calibration
A method includes generating, for an electric vehicle powertrain, a calibration map providing a mapping from values of a set of context variables to mapped values of a set of decision variables. The context variables have values representing the vehicle’s operational conditions, and the decision variables have values representing powertrain parameters… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Range extension with optimal traction control for … | 1 |
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.
Secondmind Ltd
Secondmind holds 3 patent records, focused on B60L 15 (electric vehicle propulsion control) and B60L 3, with secondary coverage of G01R 31 (electric and magnetic measurement). Its momentum is classified as a new entrant, with 2 recent filings, indicating that its portfolio is being built actively rather than established over many years. This AI-specialist profile — propulsion control as the primary claim area — is consistent with a software-first approach to powertrain optimization.
patent records: 3Volvo Car Corporation
Volvo Car Corporation holds 2 patent records, concentrated in B60L 15 and B60L 50 (electric vehicle propulsion), reflecting an OEM applying AI/ML to core motor and energy management control. Volvo’s presence in the top two, alongside a pure-play AI firm, illustrates that established automakers are beginning to file in this intersection rather than leaving it entirely to software specialists. Applicant momentum data was not separately broken out for Volvo in the recent-period evidence.
patent records: 2Frequently asked questions
The evidence covers 11 patent families in scope. This is a small but rapidly growing corpus; the 300% recent growth rate indicates the field is expanding quickly from a narrow base.
Secondmind Ltd leads with 3 patent records, ahead of Volvo Car Corporation with 2. All other ranked filers hold 1 patent record each, making the field highly fragmented.
India is the leading jurisdiction with 4 patent records, followed by Europe (EPO) with 3 and the United States with 2. Canada and WIPO (PCT) each account for 1 patent record.
B60L (electric vehicle propulsion) is the visible IPC class with 8 patent records. G06N (computing based on AI models) follows with 4, and B60W (hybrid and joint vehicle control) with 3.
The field is classified as Growth, with annual filings still rising. Activity was negligible before 2021 and accelerated notably from 2024 onward. Recent-year figures are understated by publication lag.
The only observable co-filing relationships are within the Sandip group of Indian institutions — Sandip University Sijoul, Sandip University Nashik, Sandip Institute of Technology and Research Centre, and Sandip Institute of Engineering and Management — accounting for five recorded collaboration pairs. No cross-sector or OEM-to-university collaboration is evident in the evidence.
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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.