Lithium Iron Phosphate Battery Simulation Patent Landscape 2026
What this landscape covers
This landscape tracks patent families at the intersection of lithium iron phosphate (LFP) cell chemistry and simulation or modeling methods — electrochemical models, thermal models, state-estimation models and aging models — restricted to filings classified under computer-aided design (G06F30), battery-management hardware (H01M10/48) or electrical condition monitoring (G01R31/367). It is a narrow, method-level cut of the broader LFP patent space, not a survey of LFP cell chemistry as a whole.
Ten published families sit inside this cut between 2015 and the mid-2026 data cut-off. That is a small enough corpus that a single well-drafted filing can meaningfully shift the landscape, and it means conclusions here should be read as directional rather than statistically robust.
Filing trend and technology composition
Two views of the same ten families: how filing has moved year over year, and which IPC subclasses carry the claims.
A flat trend with a late, small peak
Filings sat at zero in 2017 and had reached only 1 by the 2022 midpoint. The peak so far is 2025 at 3 families — a real uptick, but from a low base, and 2026 is still a partial year of publications running roughly 18 months behind actual filing dates. Read the apparent decline into 2026 as a publication-lag artefact, not a slowdown signal.
Measurement framing outweighs pure computation
G01R (electric & magnetic measurement) appears in 8 of the 10 records, more than G06F digital data processing at 6 and far ahead of H01M battery hardware at 3. Thin coverage in G01D, G06T and G16C (one record each) marks computational chemistry, imaging-based diagnostics and general recording/measurement as touched but not staked out.
Shares are the percentage of the 10 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Lithium Iron Phosphate Battery Simulation and Modeling with Eureka
This page is one run against one query. Ask Eureka your own question about lithium iron phosphate battery simulation and modeling and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited records in this corpus
磷酸铁锂储能电池的热电耦合模型构建方法及装置 (CN115034167A)
The filing builds a coupled electro-thermal model for LFP energy-storage cells: an electrical model and a thermal model are each built from measured cell parameters, then coupled through the effect of temperature on electrical parameters and the effect of those parameters on the cell's heat-generation rate. The coupled model is then corrected online using fuzzy control so its parameters track the cell's actual running state, with the goal of a more reliable and precisely mapped prediction of battery condition.Filed by China Three Gorges Corporation, 2022-09-09.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | CN120122002A | 基于卡尔曼滤波的磷酸铁锂储能电站SOC高精度监测方法 | 15 |
| 2 | CN110398693A | 一种退役磷酸铁锂单体电池状态快速评价方法 | 13 |
| 3 | CN115034167A | 磷酸铁锂储能电池的热电耦合模型构建方法及装置 | 5 |
| 4 | CN118169576A | 一种磷酸铁锂动力电池轻微过充的检测方法 | 4 |
| 5 | CN119830649A | 一种磷酸铁锂电池的电化学、热和容量衰减耦合建模方法 | 1 |
| 6 | CN117289165A | 一种磷酸铁锂电池SOH估算方法、系统、设备及介质 | 1 |
| 7 | CN117289164A | 一种磷酸铁锂电池的电池健康状态估算方法及装置 | 1 |
| 8 | CN111509316A | 一种基于循环寿命的船用锂电池组能量管理方法 | 1 |
Citation counts inside a bounded corpus like this one skew toward older filings that have simply had more time to be cited; treat rank as a signal of influence on the field to date, not of which method is currently best.
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. Publication numbers are shown where the record carries one (8 of 8 rows); clicking a row searches Eureka by that number.
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Read together, the trend, the IPC split and the citation table point to a field that is still forming its claim structure rather than converging on one.
Growth is flat, not accelerating
A midpoint of just 1 family in 2022 followed by a peak of 3 in 2025 is movement, but not a trend line anyone should extrapolate confidently. The corpus is too small and too recent to call this a growth market yet.
State-estimation and sensing lead electrochemistry
More families claim through measurement and condition-monitoring language (G01R) than through pure computational modeling (G06F) or battery hardware (H01M). A model that frames itself as an estimation or diagnostic method is filing into denser prior art than one framed as a hardware-coupled simulation.
Filing is concentrated in one jurisdiction
Nine of ten records route through the China receiving office, with a single India filing as the only counterweight. There is essentially no prior art in this exact method cut in other major markets, which cuts both ways for freedom-to-operate work.
Influence concentrates on a couple of records
The top two cited families (state-of-charge monitoring via Kalman filtering, and retired-cell rapid state assessment) carry noticeably more citations than the rest of the table. That concentration says these two methods set reference points others build on — not that newer, less-cited filings are weaker.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to lithium iron phosphate battery simulation and modeling, with the prior art for and against each one.
Where to take this
The corpus is small enough that a targeted search and a claim-drafting pass can be done quickly rather than requiring a full landscape re-run.
Check the two most-cited families in detail
The Kalman-filter SOC monitoring family and the retired-cell rapid assessment family carry disproportionate citation weight. Any new filing on state estimation should be checked against both before drafting claims.
Explore citation detail in EurekaWatch the G16C and G06T edges
Computational-chemistry-based and image-based approaches to LFP modeling each have only one record in this cut. That is either an early signal or genuine white space — worth a dedicated search before assuming either.
Run a focused search in EurekaRe-run the trend once 2026 filings settle
Publication lag means the 2026 count is understated by design. A follow-up pull in 12–18 months will show whether the 2025 peak was a genuine inflection or noise in a small sample.
Set a tracking alert in EurekaCommon questions on LFP battery modeling patents
Within the specific method cut used here — electrochemical, thermal, state-estimation and aging models classified under G06F30, H01M10/48 or G01R31/367 — the corpus totals 10 published patent families between 2015 and mid-2026. That is a narrow slice of the much larger LFP patent literature overall, which includes cell chemistry, manufacturing and pack design filings not counted here. Treat the 10-family figure as specific to this modeling-method definition, not as the size of the LFP patent space as a whole.
No assignee in this corpus shows a sustained multi-year lead; recent-year momentum readings are flat (zero in the latest year) across every named organisation, including battery makers, universities and a state grid research institute. The most-cited individual filings come from a mix of academic and state-enterprise assignees rather than a single incumbent. This suggests the field has not yet consolidated around a dominant filer, and a new entrant is not up against an entrenched patent thicket from one company.
Nine of the ten records in this corpus route through the China receiving office, against a single India filing. That concentration likely reflects where LFP cell manufacturing and grid-scale storage deployment is heaviest, since modeling patents tend to follow where the underlying hardware is being built and operated. It also means there is very little prior art in this exact method cut filed directly in other major patent offices, which matters for anyone assessing freedom to operate outside China.
CN115034167A, filed by China Three Gorges Corporation, covers a method for building a coupled electro-thermal model for LFP energy-storage cells — constructing separate electrical and thermal models from measured cell parameters, coupling them through temperature's effect on electrical behavior and that behavior's effect on heat generation, and then correcting the coupled model online using fuzzy control. It is a construction-and-correction method claim rather than a claim on the underlying chemistry or hardware. Anyone building a similar coupled model should check whether their correction mechanism and coupling pathway differ meaningfully from the fuzzy-control approach described here.
The sparsest IPC subclasses in this corpus — G01D (general measurement/recording), G06T (image-based processing) and G16C (computational chemistry) — each carry only a single record, compared with 8 records touching G01R measurement claims. That points to image-based cell diagnostics and computational-chemistry-driven degradation modeling as under-claimed relative to the dense state-estimation and SOC-monitoring space. Because the overall corpus is only 10 families, these gaps should be verified with a fresh targeted search before relying on them for a filing decision.
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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.