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ASCMO, INCAINCA-FLOW, …Flyer / Brochure / White PaperSuccess 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, …

2024.08.08
INCAINCA-FLOWManual / Technical DocumentationINCA-FLOW 레퍼런스 가이드 INCA-FLOW V4.17 Getting Started2024.07.03
INCAINCA-FLOWManual / Technical DocumentationINCA-FLOW Release Notes INCA-FLOW V4.17 Release Notes2024.07.03
INCAINCA-FLOW, …SoftwareINCA-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 …

2024.07.03
INCAINCA-FLOWManual / Technical DocumentationINCA-FLOW What's New 2024.07.03
INCAINCA-FLOW, …Known Issue ReportKnown Issue 리포트-INCA

Known Issue 리포트 INCA

이타스 제품은 세심한 개발과 광범위한 릴리스 테스트를 거치지만, 간혹 제품이 시장에 출시된 후에 결함이 발견되기도 합니다. 이타스는 정기적인 유지 보수와 개발 활동의 과정에서 가벼운 문제들을 해결하고 있습니다.

더 중대한 문제에 대해 이타스는 고객들께 보고된 문제의 …

2023.10.10
ASCMO, INCAINCA-FLOW, …Flyer / Brochure / White PaperFuel 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 …

2023.08.05
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, 바이클 인터페이스 모듈INCA-FLOW, …Manual / Technical Documentation안전지침 2023.07.01
INCAINCA-FLOWFlyer / Brochure / White Paper플라이어 INCA-FLOW INCA-FLOW – Guided Calibration and Test Automation for ECUs Optimization of complex calibration tasks without coding knowledge

INCA-FLOW helps to automate repetitive and manual steps in the calibration process. The calibration tasks can be prepared at the desk with a graphical editor and no in-depth coding knowledge is required. During the execution, INCA is controlled by INCA-FLOW and it guides the engineer or operator through the …

2023.05.06
INCAINCA-FLOWFlyer / Brochure / White PaperSuccess 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 …

2022.03.02
ASCMO, INCAINCA-FLOW, …Flyer / Brochure / White PaperAutomated 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 …

2021.12.09