Updated April 2026 · USPTO PatentsView
Electrical Power Patent Landscape
200 patents tracked across 4 companies in CPC H02.
The Electrical Power technology class (CPC H02) covers 200 U.S. patents tracked here, held across 4 companies. Filing activity, top patent holders, and recent grants below all come directly from USPTO records.
Patent landscape for Electrical Power technology (CPC class H02). Covers innovations in electrical power from leading companies worldwide.
Electrical Power at a Glance
200 patents tracked under Electrical Power. Smaller technology classes can be either nascent areas with growing filing activity or legacy areas where filing has slowed — the yearly trend on this page is the easiest way to tell which.
Siemens (75 patents, grade D), General Electric (69, grade C), and Tesla (40, grade D) hold the top three positions in Electrical Power. The grade column reflects each company's overall Patent Strength Score across its full portfolio, not just patents in this technology class.
Patent Activity by Year
Filing activity in Electrical Power has accelerated, with the most recent five years averaging about 10 new patents per year — roughly 39% above the earlier window. Acceleration often correlates with a technology shift attracting fresh corporate R&D, and it tends to push expiration cliffs further out as new filings replace older ones.
Recent Patents in Electrical Power
| Patent # | Title | Assignee | Granted | Expires | Claims | Status |
|---|---|---|---|---|---|---|
| 10001412 | Power conversion system with multi-layer edge efficiency | General Electric | Apr 16, 2028 | Sep 8, 2044 | 46 | 18.4y left |
| 10003678 | Method for modular RF energy storage | Tesla | Mar 27, 2028 | Aug 19, 2044 | 13 | 18.4y left |
| 10001501 | System and method for advanced data processing using blockchain | Siemens | Jan 16, 2028 | May 26, 2044 | 17 | 18.1y left |
| 10001455 | Method for autonomous lidar fuel efficiency | General Electric | Sep 6, 2027 | Jan 14, 2043 | 25 | 16.8y left |
| 10001327 | Power conversion system with modular AI-driven efficiency | Toyota | Sep 3, 2027 | Jul 24, 2044 | 42 | 18.3y left |
| 10001528 | Power conversion system with advanced AI-driven efficiency | Siemens | May 13, 2027 | Dec 18, 2044 | 21 | 18.7y left |
| 10001543 | Method for integrated channel estimation in analog communications | Siemens | Dec 3, 2026 | Mar 6, 2042 | 44 | 15.9y left |
| 10003662 | Method for configurable analog energy storage | Tesla | Nov 15, 2026 | Jun 16, 2042 | 8 | 16.2y left |
| 10001446 | Internal combustion engine with low-latency RF system | General Electric | Nov 13, 2026 | Oct 14, 2044 | 16 | 18.5y left |
| 10001560 | Power conversion system with high-performance analog efficiency | Siemens | Nov 10, 2026 | Aug 27, 2044 | 29 | 18.4y left |
| 10001530 | Power conversion system with dynamic neural efficiency | Siemens | Oct 27, 2026 | Mar 4, 2043 | 18 | 16.9y left |
| 10001428 | Method for advanced machine learning inference using AI-driven | General Electric | Oct 25, 2026 | Nov 20, 2043 | 12 | 17.6y left |
| 10001542 | System for modular signal transmission in graphene networks | Siemens | Oct 17, 2026 | Dec 23, 2042 | 23 | 16.7y left |
| 10001450 | Method for dynamic analog energy storage | General Electric | Oct 5, 2026 | Aug 4, 2044 | 12 | 18.3y left |
| 10001466 | Internal combustion engine with high-performance photonic system | General Electric | Aug 27, 2026 | Feb 8, 2043 | 29 | 16.8y left |
| 10001430 | Method for optimized 5G energy storage | General Electric | May 16, 2026 | Jul 18, 2043 | 39 | 17.3y left |
| 10001408 | Power conversion system with high-performance neural efficiency | General Electric | May 4, 2026 | Nov 9, 2044 | 10 | 18.6y left |
| 10001462 | Power conversion system with autonomous MEMS efficiency | General Electric | Apr 26, 2026 | Oct 27, 2044 | 17 | 18.6y left |
| 10001563 | Method for distributed AI-driven detection and analysis | Siemens | Apr 12, 2026 | Dec 4, 2044 | 48 | 18.7y left |
| 10001276 | Power conversion system with advanced 5G efficiency | Toyota | Mar 14, 2026 | Mar 18, 2042 | 27 | 15.9y left |
What Expirations Mean for Electrical Power
As patents in Electrical Power expire, the underlying methods and apparatuses enter the public domain. Competitors gain freedom to operate without licensing the original claims, and downstream products incorporating the formerly protected technology can ship without a royalty stack. This is the ground-truth mechanism that drives generic-drug economics and the broader competitive dynamics in semiconductor process generations and consumer electronics platforms.
For pharmaceutical and biotech CPC classes, drug-specific exclusivities tracked in the FDA Orange Book can delay generic entry past patent expiration. For non-drug technology classes, expiration is a cleaner trigger — competitors generally gain freedom-to-operate immediately. Either way, the underlying expiration math comes from USPTO records.
How This Patent Landscape Is Built
Patents are assigned to Electrical Power based on their primary CPC classification (H02) as recorded by USPTO examiners. Total counts include all patents in the tracked dataset that carry this CPC prefix; recent-patent and yearly-trend tables are derived from the same record set. Each company\'s grade reflects its overall Patent Strength Score across its entire tracked portfolio, not just patents in this CPC class. Read the full methodology for the data pipeline, score weights, and known limitations.
Frequently Asked Questions
What is the Electrical Power CPC class?
Electrical Power corresponds to Cooperative Patent Classification (CPC) prefix H02, the international system used by the USPTO and EPO to organize patents by technical subject matter. Patent landscape for Electrical Power technology (CPC class H02). Covers innovations in electrical power from leading companies worldwide. CPC classes are assigned by patent examiners and update as the technology evolves, so the patent set tracked here reflects the current classification of every included patent.
Who are the top patent holders in Electrical Power?
Siemens (75 patents), General Electric (69 patents), Tesla (40 patents), Toyota (16 patents) are the leading holders in Electrical Power. Patent counts at the company level are useful for spotting concentration, but they do not tell you about claim strength — for a finer signal, see each company's Patent Strength Score grade in the table below.
How many Electrical Power patents will expire soon?
Per-year expiration counts for this technology class can be derived from the recent patents table on this page combined with each patent's expiration date — patents typically expire 20 years from earliest non-provisional filing. For year-by-year expiration totals across all CPC classes, see the expiring-year pages on this site, which break down each year's cohort by company and technology.
What happens when patents in Electrical Power expire?
When a patent expires, its claims enter the public domain. For Electrical Power, that means competitors can implement the underlying methods or apparatus without licensing fees. The practical impact varies — in regulated areas like pharmaceuticals, FDA-granted exclusivities can extend market protection past patent expiry. In unregulated technology areas, expiration usually translates directly into freedom-to-operate for new entrants.
Where does Electrical Power patent data come from?
All patent data is sourced from the U.S. Patent and Trademark Office through the PatentsView and Open Data Portal APIs. CPC classifications are assigned by USPTO examiners and are part of the official patent record. Verify any individual patent through USPTO Patent Public Search (ppubs.uspto.gov) or Google Patents.
Sources: U.S. Patent and Trademark Office (PatentsView, Open Data Portal). Public-domain federal data. Cite as: "PatentCliff, Electrical Power landscape, April 2026. Data: USPTO."
Last updated 2026-04-10 · 200 patents tracked in Electrical Power.