Lithium-Sulfur Battery Simulation Patents: Trends & Gaps 2026
- Filing already peaked. 2021 recorded 10 families, the high point of the series; by the 2022 midpoint, filings had dropped back to 2, and the trend has stayed flat or declining since.
- Measurement, not just chemistry, is where claims sit. G01R (electric and magnetic measurement) appears in 12 of 31 records — nearly as often as H01M battery-cell classifications — showing how much of this space is state-estimation and diagnostics rather than cell design.
- No assignee is currently active. Every tracked assignee, from CATL to LG Energy Solution, shows zero filings in the latest year — a sign the field is either between filing cycles or awaiting the next commercialization push.
Filing growth compares 2021 (10 records) with 2024 (6) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 31 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This landscape tracks patent families at the intersection of lithium-sulfur battery chemistry and the simulation, electrochemical modeling, and degradation-prediction methods used to characterize it — polysulfide shuttle modeling, capacity-fade prediction, and related state-estimation techniques. The scope is narrow by design: it captures documents that combine Li-S-specific chemistry terms with modeling or degradation-modeling language, rather than the broader universe of lithium-sulfur cell patents or generic battery management systems.
The dataset spans 2015 through the 2026 cut-off and totals 31 published families, drawn primarily from US, European, Indian, PCT and Chinese filings. Because publication typically lags filing by around 18 months, the most recent one to two years in any trend line will understate actual filing activity.
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Filing trend and technology composition
Two views of the same 31-family dataset: how filing activity has moved year over year, and which IPC subclasses the claims actually sit in.
A single peak, then decline
Filings rose from 2 in 2017 to a peak of 10 in 2021, then fell back to 2 by 2022 — the midpoint of the series. Combined with zero recorded activity from every tracked assignee in the latest year, the pattern reads as a filing wave that has already crested rather than a steadily building field.
Measurement and power systems dominate the classification mix
H02J (power supply and grid systems) leads at 18 records, followed by H01M (batteries and cells) at 14 and G01R (electric and magnetic measurement) at 12. Smaller counts in B60L, G06F, A61B, A61N and G06K show the modeling work bleeding into EV propulsion control, computing, and even medical-device power management — evidence that electrochemical modeling IP is being claimed as a system- and measurement-layer capability, not purely as cell chemistry.
Shares are the percentage of the 31 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Lithium-Sulfur Battery Simulation and Modeling with Eureka
This page is one run against one query. Ask Eureka your own question about lithium-sulfur battery simulation and modeling and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative and most-cited filings
Battery parameter estimation using reduced-order and/or full-order electrochemical models
This disclosure relates to systems, methods, and techniques for estimating battery parameters using a battery analysis system. In certain embodiments, the system receives current data for a battery cell, preprocesses the data to reduce frequency and amplitude, and executes a shallow estimation function using a reduced-order electrochemical model to estimate battery parameters based on the preprocessed data. In some embodiments, a deep estimation function, which utilizes a full-order electrochemical model, may be utilized to further refine the battery parameter estimates if higher accuracy is desired.Filed by LG Energy Solution, published 2026-05-07 — the newest record in this dataset.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20150349385A1 | Method and System for Predicting Useful Life of a Rechargeable Battery | 154 |
| 2 | US20180316204A1 | Method and apparatus to predict capacity fade rate of battery | 46 |
| 3 | CN114611319A | 锂硫电池电化学模型的构建方法、仿真方法及装置 | 9 |
| 4 | US20240022092A1 | Method for charging power battery and battery management system | 8 |
| 5 | US20230335822A1 | Method for charging power battery and battery management system | 8 |
| 6 | US20220170993A1 | Method for determining the state of health of an electrical energy store, computer program product, and machi… | 8 |
| 7 | US10931128B2 | Method and apparatus to predict capacity fade rate of battery | 8 |
| 8 | US20230327464A1 | Method for charging power battery and battery management system | 6 |
| 9 | US20230271523A1 | Method for charging traction battery and battery management system | 5 |
| 10 | US20230296684A1 | Accelerated Battery Lifetime Simulations Using Adaptive Inter-Cycle Extrapolation Algorithm | 5 |
Citation counts favor older filings simply because they have had more time to accumulate citations within the searched corpus — treat this as a signal of influence, not of current relevance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.
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Three patterns stand out once the filing trend, classification spread, and citation data are read together.
The filing wave has crested
Activity rose steadily to a 2021 peak of 10 families, then declined to 2 by 2022. Every assignee tracked in the recent-momentum data — including CATL, LG Energy Solution, Samsung, Bosch and Medtronic — shows zero filings in the latest year.
Modeling claims lean on power-systems and measurement classes
H02J outranks H01M itself, and G01R is close behind — meaning a large share of this field's IP value sits in how battery state is measured and managed at the system level, not only in cell-level electrochemistry.
Influence sits with early, broad battery-life prediction patents
The most-cited record, US20150349385A1 on predicting useful battery life, carries 154 citations — far ahead of the next tier. Newer Li-S-specific modeling filings, including the Chinese electrochemical-model construction patent, sit in single digits.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to lithium-sulfur battery simulation and modeling, with the prior art for and against each one.
Who is filing, and where the gaps sit
The assignee set spans battery cell makers, an automotive OEM-adjacent energy company, a medical device maker, and at least one university — but none show recent filing activity.
A cross-industry but thin assignee base
The tracked assignees range from battery majors such as CATL, LG Energy Solution and Samsung to Bosch, Medtronic, GS Yuasa, and a university research board (Michigan). This spread suggests the modeling techniques are seen as applicable well beyond a single cell manufacturer's roadmap.
Collaboration is rare, not structural
The only recorded co-assignee pairing links the University of Michigan's board of regents with LG Energy Solution, appearing once. Beyond this single pair, filings in this dataset are single-assignee, indicating modeling IP is mostly developed and held internally rather than co-filed.
Momentum has stalled across the board
Every named assignee in the recent-momentum data, from CATL through Bosch, recorded zero filings in the most recent tracked year. Combined with the 2021 peak-then-decline trend, this points to a field that filed heavily in one window and has gone quiet since — at least in published data.
| Assignee | Recent year | YoY |
|---|---|---|
| Contemporary Amperex Technology Co., Ltd. (CATL) | 0 | — |
| The Regents of the University of Michigan | 0 | — |
| Samsung Electronics Co., Ltd. (South Korea) | 0 | — |
| Feiyi New Energy Co. | 0 | — |
| Medtronic, Inc. | 0 | — |
| Robert Bosch GmbH (Germany) | 0 | — |
| GS Yuasa International Ltd. | 0 | — |
| LG Energy Solution, Ltd. | 0 | — |
Where to take this analysis
The filing trend and classification data point to specific next steps for teams deciding where to file or invest.
Check freedom-to-operate against measurement claims
With G01R and H02J outweighing pure H01M cell-chemistry classifications, an FTO review limited to battery-chemistry patents will miss a large share of the relevant claim space.
Run a claims search in EurekaWatch for a second filing wave
The 2021 peak followed by decline could reflect a completed research cycle or a lull before commercialization-driven refiling. Recent LG Energy Solution activity suggests the latter is still possible.
Track assignee activity in EurekaExplore the under-claimed medical and EV overlaps
Single-digit representation in A61B, A61N and B60L suggests these adjacent applications of Li-S degradation modeling remain open for focused filing.
Explore white space in EurekaCommon questions about this landscape
This dataset contains 31 published patent families filed between 2015 and the 2026 cut-off that combine lithium-sulfur battery chemistry terms with electrochemical modeling, polysulfide shuttle modeling, or degradation modeling language. That is a narrow, specific slice of the broader lithium-sulfur battery patent space, which is considerably larger. Because publication lags filing by roughly 18 months, the true count for 2025-2026 filings is likely higher than currently visible.
The tracked assignee set includes CATL, LG Energy Solution, Samsung, Bosch, Medtronic, GS Yuasa, and the University of Michigan's board of regents, among others, but no single organization holds a dominant share of the 31 families. All of these assignees show zero filings in the most recent tracked year, so the field currently lacks an active volume leader. This is a fragmented landscape rather than one led by a clear front-runner.
Filing activity peaked in 2021 at 10 families and had fallen back to 2 by the 2022 midpoint of the dataset, with no assignee showing activity in the latest tracked year. That pattern indicates the field is currently flat or declining rather than growing. However, the 18-month publication lag means recent years are always understated, so this could still shift once later filings publish.
Polysulfide shuttle modeling refers to simulation techniques that predict and manage the shuttle effect — the migration of dissolved polysulfide species between electrodes that degrades lithium-sulfur cell performance and cycle life. It matters for patent strategy because claims in this dataset span not just cell chemistry (H01M) but also measurement (G01R) and power-system control (H02J), meaning a workaround analysis needs to cover algorithmic and system-level claims, not only material or electrode claims.
The classification data shows thin coverage in areas like medical-device-integrated degradation modeling (A61B, A61N), embedded battery-management deployment of reduced-order models, and EV-propulsion-integrated Li-S degradation control (B60L overlap). These branches each appear in only a handful of the 31 tracked families. Combined with the overall filing slowdown since 2021, these under-claimed intersections represent areas where new, well-drafted claims face less prior art density.
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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.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.