BESS LCOS & Cost Reduction Patent Snapshot 2026
The battery energy storage system LCOS and cost-reduction patent space is in a confirmed growth stage, with filings expanding 350% in the recent window and a diverse set of new entrants entering in the last two years. FranklinWH Energy Storage leads by patent record count, but the field remains lightly concentrated, signaling open competitive terrain.
FranklinWH leads a fragmented, fast-growing field
FranklinWH Energy Storage Inc holds the top position with 5 patent records, ahead of Honeywell International, Fluence Energy, and ABB Research, each with 3 patent records. The top five filers collectively account for 30% of the ranked applicants visible in this query’ combined total, indicating a fragmented visible assignee structure with no single visible incumbent.
The tier gap between the leader (5 patent records) and the second tier (3 patent records each) is narrow, reflecting an early-stage field where no applicant has yet established a commanding lead. Universities and research institutes — including Tsinghua University, Huaneng Clean Energy Research Institute, and the University of Texas System — appear alongside commercial players, reinforcing the pre-commercial character of much activity.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | FranklinWH Energy Storage Inc | 5 | |
| 2 | Honeywell International Inc | 3 | |
| 3 | Fluence Energy LLC | 3 | |
| 4 | ABB Research Ltd | 3 | |
| 5 | Tsinghua University | 2 | |
| 6 | Huaneng Clean Energy Research Institute | 2 | |
| 7 | Zhou Xiwei | 2 | |
| 8 | Board of Regents, The University of Texas System | 2 | |
| 9 | BVRIT Hyderabad College of Engineering for Women | 1 | |
| 10 | Nasiya Niwaz Banu N | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | China Three Gorges Corporation | 1 | |
| 12 | Togowin Technology Co Ltd | 1 | |
| 13 | National University of Defense Technology | 1 | |
| 14 | South China University of Technology | 1 | |
| 15 | Shri Ravi N Bagade | 1 | |
| 16 | Renergetica | 1 | |
| 17 | Dr K Kannan | 1 | |
| 18 | A Prem Kumar | 1 | |
| 19 | Dr S Meena | 1 | |
| 20 | Florida International University | 1 |
The presence of multiple new entrants in the momentum data suggests that the ranking is actively reshuffling. Commercial players with grid-integration and analytics capabilities (FranklinWH, Honeywell, Fluence) are converging on the same visible technology branch, creating overlapping competitive pressure at the H02J grid systems level.
Filings from the most recent 18–24 months are subject to publication lag and are likely understated; conclusions about late-period activity should be treated as provisional. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Accelerating filings and a grid-systems-dominated technology mix
Two charts anchor the structural read: annual filing volume and the IPC branch composition of the corpus. Together they show a field that pivoted sharply upward from 2022 onward and is concentrated in grid-integration IP.
Annual filing trend
Filing volume was negligible through 2020, rose modestly in 2021, surged to 7 patent records in 2022, and reached a new high of 10 in 2024. The 2025 and 2026 bars are understated due to publication lag and should not be read as a slowdown. The 350% recent-window growth rate confirms the field is in an active expansion phase.
↗ Hover for values · click a bar to ask EurekaTechnology composition
H02J (Power supply and grid systems) is the visible branch by a wide margin, reflecting that most LCOS cost-reduction innovation is being claimed at the grid-dispatch and energy-management layer rather than at the cell chemistry level. H01M (Batteries, cells, and fuel cells) is the second branch but much smaller. Business-process and AI/computing branches (G06Q, G06F, G06N) each carry moderate weight, pointing to a software and optimization dimension that is growing alongside hardware claims.
↗ 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.
System and methods for the resilient AI-based data…
Systems, architectures, devices, and methods for the resilient artificial intelligence-based data-driven dispatch of a battery energy storage system (BESS) are provided. A Mixed-Integer Linear Programming-based BESS dispatch scheduling algorithm utilizes location-specific weather data to forecast photovoltaic generation, load consumption, and grid outages… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Building and Building Cluster Energy Management an… | 83 |
| 2 | Method for operating a battery energy storage system | 50 |
| 3 | Method and apparatus for controlling hybrid grids | 24 |
| 4 | 一种基于电池轮换的储能系统调度方法 | 14 |
| 5 | 基于风电场应用场景的储能系统优化配置方法及装置 | 11 |
| 6 | 考虑阶梯电价的家庭光伏和电池储能系统容量配置方法 | 11 |
| 7 | Building and building cluster energy management an… | 11 |
| 8 | Method for operating a battery energy storage system | 10 |
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.
FranklinWH Energy Storage Inc
FranklinWH leads with 5 patent records and is classified as a new entrant in momentum terms, meaning its entire portfolio has been built in the recent filing window. Its technical emphasis spans H02J grid systems, G01R electric and magnetic measurement, and H02J battery-charging subclasses — a combination that points to integrated measurement-and-dispatch architecture rather than pure software optimization. This measurement focus is distinctive within the top tier.
5 patent recordsHoneywell International Inc
Honeywell holds 3 patent records and is also classified as a new entrant, building its position entirely in the recent window. Its technical emphasis is concentrated in H02J grid systems, G06F digital data processing, and G06N AI-model computing — a software-and-analytics orientation that contrasts with FranklinWH’s hardware-measurement focus. Fluence Energy LLC matches Honeywell’s count at 3 patent records, also as a new entrant, with emphasis on H02J charging and grid subclasses.
3 patent recordsFrequently asked questions
The corpus covers 37 patent families in scope globally. This is a small but fast-growing corpus, with a 350% growth rate in the recent filing window, consistent with an early-growth-stage field.
FranklinWH Energy Storage Inc leads with 5 patent records, followed by Honeywell International Inc, Fluence Energy LLC, and ABB Research Ltd, each with 3 patent records. All four are classified as new entrants, meaning their portfolios were built entirely in the recent filing period.
H02J (Power supply and grid systems) is the visible IPC branch by a wide margin, reflecting that most cost-reduction claims are being made at the grid-dispatch and energy-management layer. H01M (Batteries, cells, and fuel cells) is a secondary branch, while G06Q, G06F, and G06N each carry moderate representation, pointing to a growing software and analytics dimension.
China and the United States are tied at 12 patent records each at the jurisdiction level, making them co-equal primary filing offices. India accounts for 6 records, largely from academic and individual filers. WIPO PCT filings stand at only 4, indicating that broad multinational protection strategies are not yet common in this field.
The lifecycle evidence classifies the field as Growth, with annual filings still rising. The most recent years (2025–2026) are understated due to publication lag and should not be interpreted as a slowdown. The 350% recent-window growth rate from a near-zero base in 2017–2020 confirms active expansion.
G06N (AI and machine-learning models) and H02M (power conversion circuits) are the sparsest branches with plausible direct links to LCOS cost reduction, each appearing in 2–4 patent records. H02S (solar co-location) is also sparse at 2 records. These are observations of relative filing density, not validated commercial opportunities, and should be assessed against technical fit and freedom-to-operate before committing R&D resources.
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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.