https://www.patsnap.com/resources/blog/rd-blog/bidirectional-dc-dc-converter-simulation-and-modeling-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Power Electronics · Patent Landscape
Bidirectional DC-DC Converter Simulation and Modeling Patents
  • Filing is accelerating, not maturing. the 2022 midpoint sits at zero filings, then activity climbs to a 2025 peak of 7 — this is an early-stage claim race, not a settled field.
  • Digital twins are the newest wedge. the most recent filings, including the 2026 Harbin Engineering University application, pivot from control-method claims toward full digital-twin systems for converter monitoring and diagnosis.
  • China dominates the filing office split 10 to 3. with India, the US, WIPO and South Korea trailing — a geographic concentration that matters for where freedom-to-operate risk actually sits.
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18
Published Records
61%
Top-5 Share of All Records
0%
Filing Growth 2021→2024
CN
Leading Jurisdiction

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.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

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.

Filing activity by year
  1. 1BAYERISCHE MOTOREN WERKE AG3
  2. 2INDIAN INSTITUTE OF TECHNOLOGY JODHPUR3
  3. 3SOUTHWEST JIAOTONG UNIV2
  4. 4HARBIN ENG UNIV2
  5. 5HARBIN INST OF TECH1
  6. 6CHINA RAILWAY ELECTRIFICATION SURVEY DESIGN & RES INST1
  7. 7NANJING UNIV OF AERONAUTICS & ASTRONAUTICS1
  8. 8PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV1
  9. 9SK HYNIX INC1
  10. 10STATE GRID HUNAN ELECTRIC POWER COMPANY LIMITED1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Bidirectional DC-DC Converter Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The data

Filing trend and technology composition

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.

Filing trend, 2017–2026

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.

Filing trend, 2017–2026024682201720182019202020212022202320247202512026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass distribution

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.

IPC subclass distributionH02M · Power conversion (AC/DC etc.)1477.8%G06F · Electric digital data processi…1055.6%H02J · Power supply & grid systems422.2%G05F · Electric/magnetic variable con…316.7%G06N · Computing based on AI models211.1%B60L · Electric vehicle propulsion15.6%G01R · Electric & magnetic measurement15.6%G05B · Control & regulating systems15.6%Other15.6%

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%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Bidirectional DC-DC Converter Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key patents

Most-cited records and a representative filing

Representative filing
WO2026157018A12026-07-30

WO2026157018A1 — High-power isolated bidirectional DC-DC converter digital twin system and method

HARBIN ENGINEERING UNIVERSITY

Filed 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.

WO2026157018A1 — patent drawing 1WO2026157018A1 — patent drawing 2
View full record
Highest-cited families in this set
#Publication no.Patent titleCitations
1CN108039820A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
2CN108039821A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
3CN118551710A一种基于数字孪生的DC-DC变换器建模方法9
4WO2024022708A1Actuating a power-electronics DC-DC converter4
5CN121257443A一种基于数字孪生的DC-DC变换器参数辨识方法1
6CN120046329A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
7US10298128B2Multi-switch power converter1

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.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Bidirectional DC-DC Converter Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers say

Three read-throughs from the filing trend, the citation table, and the assignee list.

Filing momentum
0 → 7
2022 midpoint to 2025 peak

This is an acceleration, not a plateau

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.

Filing trend, 2017-2026
Citation concentration
25 cites
top record, CN108039820A

Early control-method patents still anchor citations

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.

Most-cited records table
Geographic split
10 of 18
families via CNIPA

Filing office concentration signals where FTO risk sits

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.

Receiving office breakdown
Collaboration pattern
3 pairs
co-assignee combinations

Collaboration is thin and utility-linked

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.

Co-assignee pairs
Eureka AI Agent
Looking for what nobody has claimed yet?

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.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Bidirectional DC-DC Converter Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and where the field is still open

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.

Momentum check
0 latest-year
across most tracked assignees

Recent-year filing has gone quiet for named players

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.

Recent-year momentum by assignee
Institutional base
18 families
total in ranking

Universities and grid utilities, not converter OEMs

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.

Assignee ranking
Collaboration density
3 pairs
co-assignee links, all one utility family

No cross-sector joint filing yet

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.

Co-assignee pairs
🔍
Under-claimed branches worth a freedom-to-operate check
Sub-areas with thin or no direct coverage in this 18-family set.
AI-driven parameter identification for digital twinselectro-thermal co-simulation of wide-bandgap devicesreal-time FPGA co-simulation loopsEV-specific bidirectional converter twinsfault-diagnosis models tied to health management
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Bayerische Motoren Werke AG (BMW)0
INDIAN INSTITUTE OF TECHNOLOGY JODHPUR0-100%
Southwest Jiaotong University0
Harbin Engineering University0-100%
SK hynix Inc.0
Jiangsu Normal University0-100%
State Grid Hunan Electric Power Company Economic and Technical Research Institute0-100%
State Grid Hunan Electric Power Co., Ltd.0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Bidirectional DC-DC Converter Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's next

Where to take this

This landscape is a starting map, not a clearance opinion. Three ways to go deeper.

Check freedom-to-operate against the CNIPA cluster

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 →

Track the digital-twin pivot as it publishes

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 →

Watch the white-space branches for new entrants

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 →
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Bidirectional DC-DC Converter Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions

Answers are grounded in the same dataset. Derived from a Patsnap search on Bidirectional DC-DC Converter Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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.