Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →Filing growth compares 2021 (1 records) with 2024 (1) — 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 18 records in scope (CR5), not by the ranked leaders only.
This landscape tracks patent families at the intersection of bidirectional DC-DC converter hardware topologies and their simulation, average-model, electro-thermal, or digital-twin representations — the software and modeling layer that sits on top of the power stage rather than the power stage alone. The search combines converter-family terms with modeling-specific language in the title and claims, filtered to IPC classes covering power conversion, digital data processing, and control systems.
The set is small — 18 published families — which is itself informative: this is a specialized cross-disciplinary niche between power electronics and computational modeling, not a mature, crowded category. Filing only becomes visible from 2017 onward and remains sparse through the early 2020s before climbing sharply, so the competitive picture here is still being written.
Two views of the same 18 families: when they were filed, and which technical subclasses they touch. Both point to a field that is technically diffuse and temporally recent.
Filings sat at 2 in 2017, dropped to nothing at the 2022 midpoint, then rose to a peak of 7 in 2025. The 2026 count of 1 reflects a partial year and the roughly 18-month lag between filing and publication — actual 2026 filing activity is understated here.
H02M (power conversion) and G06F (digital data processing) dominate at 14 and 10 records respectively, confirming this is genuinely a hybrid category. Smaller counts in G06N (2) and B60L (1) show AI-based modeling and EV-specific applications are present but not yet a filing focus.
Shares are the percentage of the 18 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about bidirectional dc-dc converter simulation and modeling and every answer comes back with the patent numbers behind it.
Try EurekaFiled by Harbin Engineering University, this application describes a digital-twin system for a high-power isolated bidirectional (IBDC) converter, combining a physical converter, data sampling, a DSP controller, a twin model-fusion layer, and FPGA-based real-time simulation with data visualization. The stated purpose spans state monitoring, fault diagnosis, performance optimization and full lifecycle health management for IBDC-type converters.Published 2026-07-30 — right at this landscape's data cut-off, so its downstream citation and family activity are not yet visible.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | CN108039820A | 一种用于双有源全桥DC-DC变换器的模型预测单相移控制方法 | 25 |
| 2 | CN108039821A | 一种双有源全桥DC-DC变换器的电流应力优化双相移控制方法 | 17 |
| 3 | CN118551710A | 一种基于数字孪生的DC-DC变换器建模方法 | 9 |
| 4 | WO2024022708A1 | Actuating a power-electronics DC-DC converter | 4 |
| 5 | CN121257443A | 一种基于数字孪生的DC-DC变换器参数辨识方法 | 1 |
| 6 | CN120046329A | 一种大功率隔离型双向DC-DC变换器数字孪生系统及方法 | 1 |
| 7 | US10298128B2 | Multi-switch power converter | 1 |
Citation counts favor older records simply because they have had more time to be cited; treat this as a signal of past influence on control-method claims, not of which approach is winning today.
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 (7 of 7 rows); clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three read-throughs from the filing trend, the citation table, and the assignee list.
Zero filings at the 2022 midpoint followed by a climb to 7 in 2025 means the claim landscape most competitors will encounter tomorrow does not exist yet in searchable form. Anyone filing now is racing an active field, not entering a settled one.
The two most-cited records both concern dual-active-bridge phase-shift control methods filed years before digital-twin framing appeared. That reflects citation lag inside a searched corpus, not that phase-shift control is the field's current center of gravity.
Ten of eighteen families were filed through China's national office, with India, the US, WIPO and South Korea each contributing a handful. A freedom-to-operate review anchored only on US or EPO art would miss most of this set.
Only three co-assignee pairs appear, all connecting a Chinese State Grid research institute to its parent grid company — a research-institute-to-utility filing pattern rather than cross-industry partnership.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to bidirectional dc-dc converter simulation and modeling, with the prior art for and against each one.
The assignee list is a long tail: no single filer holds a commanding share of 18 families, and several appear only once with no repeat activity in the latest year.
Every assignee tracked for momentum — from Bayerische Motoren Werke AG (BMW) to Jiangsu Normal University — shows zero filings in the latest year, several down -100% YoY. That is consistent with publication lag rather than genuine withdrawal, but it also means current activity is concentrated among filers not yet visible in this ranking.
The assignee mix leans toward research universities (Harbin Engineering, Southwest Jiaotong, Jiangsu Normal) and state grid entities rather than converter or automotive OEMs, aside from isolated entries like BMW and SK hynix. That suggests the modeling layer here is still largely academic IP, not yet locked up by component manufacturers.
The only co-assignee links connect a State Grid research institute, its parent company, and the national grid corporation — an internal utility research chain, not evidence of converter makers and software vendors filing jointly.
| Assignee | Recent year | YoY |
|---|---|---|
| Bayerische Motoren Werke AG (BMW) | 0 | — |
| INDIAN INSTITUTE OF TECHNOLOGY JODHPUR | 0 | -100% |
| Southwest Jiaotong University | 0 | — |
| Harbin Engineering University | 0 | -100% |
| SK hynix Inc. | 0 | — |
| Jiangsu Normal University | 0 | -100% |
| State Grid Hunan Electric Power Company Economic and Technical Research Institute | 0 | -100% |
| State Grid Hunan Electric Power Co., Ltd. | 0 | -100% |
This landscape is a starting map, not a clearance opinion. Three ways to go deeper.
With 10 of 18 families filed in China, any product or research plan touching digital-twin or average-model claims should be checked against that cluster specifically, not just US/EPO prior art.
Explore in Eureka →The 2025-2026 filings, including WO2026157018A1, mark a shift from control-method claims to full digital-twin systems. Expect more of this class to surface as the ~18-month publication lag catches up.
Monitor with Eureka →AI-driven parameter identification and electro-thermal co-simulation are touched by only a handful of records each. A first mover with a well-drafted claim there faces little blocking art today.
Search white space in Eureka →This landscape identifies 18 published patent families filed between 2015 and mid-2026, using a search combining bidirectional converter hardware terms with simulation, average-model, electro-thermal, and digital-twin language restricted to relevant IPC classes. That is a small, specialized set compared to the broader bidirectional converter hardware category, reflecting how narrow the modeling-specific overlap actually is. The true 2025-2026 count is likely higher once publication catches up, since patent publication typically lags filing by around 18 months.
The assignee base is a long tail rather than a concentrated leaderboard: universities such as Harbin Engineering University and Southwest Jiaotong University appear alongside Chinese state grid research entities, with isolated single filings from firms like BMW and SK hynix. No single organization holds a commanding share of the 18 tracked families. Recent-year momentum data shows most named assignees at zero filings in the latest year, which is more likely a publication-lag artifact than a sign the field has gone quiet.
An average model is a simplified mathematical representation that captures a converter's steady-state and slow dynamic behavior for control design and simulation, without modeling every switching event. A digital twin, as described in filings like WO2026157018A1, goes further: it pairs a physical converter with real-time data sampling, a control system, and a synchronized virtual model — often FPGA-accelerated — for continuous monitoring, fault diagnosis, and lifecycle health management. In this patent set, average-model and electro-thermal modeling claims are older and more established, while digital-twin system claims are the newer, more actively filed category.
Based on the IPC composition, branches like AI-driven parameter identification (G06N, only 2 records), real-time FPGA co-simulation loops, and EV-specific bidirectional converter twins (B60L, only 1 record) are touched by very few filings in this set. Electro-thermal co-simulation for wide-bandgap power devices and fault-diagnosis models tied to full lifecycle health management also show thin direct coverage. These are areas where a well-drafted first claim would face comparatively little blocking prior art today, though a full clearance search should confirm that before filing.
China's national IP administration should be the first stop: 10 of the 18 families in this landscape were filed there, more than triple any other office. India, the United States, the WIPO PCT route, and South Korea each account for a small share of the remainder. A freedom-to-operate review that only checks US or European prior art would miss the majority of the documented activity in this specific niche.
Go past this page: query the whole bidirectional dc-dc converter simulation and modeling corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.