製品ファミリ / カテゴリ
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カテゴリ
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ASCMO, INCA | INCA-FLOW, … | Flyer / Brochure / White Paper | Success Story: ODCM to Improve the Efficiency of Model-Based Calibration
Overcoming the limitation of manual ICE calibration with automated measurement and smart model-based calibration
At the initial stages of development, the precise operational limits of a new engine are often not known in detail. ETAS addresses this challenge with its INCA-FLOW and ETAS ASCMO tools. Through ASCMO-ODCM (Online DoE with Constraint Modelling), the test plan is dynamically adjusted based on real-time feedback from the engine, … | 08/08/2024 |
INCA | INCA-FLOW | Manual / Technical Documentation | INCA-FLOW 入門ガイド
INCA-FLOW V4.17 Getting Started | 07/03/2024 |
INCA | INCA-FLOW | Manual / Technical Documentation | INCA-FLOW Release Notes
INCA-FLOW V4.17 Release Notes | 07/03/2024 |
INCA | INCA-FLOW, … | Software | INCA-FLOW V4.17
INCA-FLOW V4.17
INCA-FLOW V4.17 contains next to new features also some important bug fixes, see Release Notes and What's news slides. If you need more detailed information about the content, please feel free to contact your regional support.
INCA-FLOW is an engineering tool designed for use only by well-trained and qualified personnel. Calibration activities require influence or control over the electronic control system. ETAS … | 07/03/2024 |
INCA | INCA-FLOW | Manual / Technical Documentation | INCA-FLOW What's New
| 07/03/2024 |
INCA | INCA-FLOW, … | Known Issue Report | Known Issue Report INCA (パスワードが必要です)
Known Issue Report (KIR) … | 10/10/2023 |
ASCMO, INCA | INCA-FLOW, … | Flyer / Brochure / White Paper | Fuel Cell Stack Power Prediction Model Using Gaussian Process Regression Mode
Fuel Cell Stack Power Prediction Model Using Gaussian Process Regression Mode
A fuel cell stack power prediction model that takes into consideration the various stack control parameters is important in the optimization design of the controls for each item of auxiliary equipment in a system equivalent to that of an actual vehicle. However, creating a model for quantitative prediction of stack power requires large amounts of data concerning … | 08/05/2023 |
ASCET, ASCMO, Analyzers, COSYM, Corporate, EHANDBOOK, EHOOKS, ES1000, ES400, ES4000, ES500, ES5000, ES600, ES700, ES900, EVE, INCA, INTECRIO, ISOLAR, LABCAR Software / System, Lambda Measurement Modules, Measurement Probes, Middleware Solution, Multiple Families, RTA, RTPRO-PC, 車両インターフェースモジュール | INCA-FLOW, … | Manual / Technical Documentation | 安全上のご注意
| 07/01/2023 |
INCA | INCA-FLOW | Flyer / Brochure / White Paper | INCA-FLOW フライヤー
INCA-FLOW – ガイド付きECU 適合自動化ツール
複雑な適合手順を自動化し、開発プロセスを最適化プログラミングの知識は不要 | 05/06/2023 |
INCA | INCA-FLOW | Flyer / Brochure / White Paper | Success Story: Efforts to automate a real vehicle CDM testing with INCA-FLOW (Subaru K.K.)
Automated real vehicle test bench to enable every test engineer to perform efficiently like experienced professional.
The increase of the system’s calibration variables complexity is an immediate trigger for the expansion of the testing team capacity in order to keep the development time deadlines. The newly hired test engineers are usually required to gain their experience right on-the-job. This set off a chain reaction of redo tests … | 03/02/2022 |
ASCMO, INCA | INCA-FLOW, … | Flyer / Brochure / White Paper | Automated in-vehicle engine calibration to optimize emissions levels using machine learning
Automated in-vehicle engine calibration to optimize emissions levels using machine learning
The growing concern with environmental impact is a major drive for the tighter emissions imposed on combustion engines. The compliance with those restrictions is pushing new hardware and software solutions that, nevertheless, increase system complexity leading to more iterations and hence longer development time, a risk to profitability. In this … | 12/09/2021 |