Support Technology for Digital Validation and Visualization of Carbon Neutrality
-Simulation Setup in Digital Validation Protocol-

Toshiji Kato (Doshisha University)･Kimitoshi Tsuji (Digital Twins)･Tsunehiro Saito (AGC)･Masahiro Okamura (JSOL)

The simulation methods and conditions used in digital validation protocols must be clearly defined because they affect the results. Therefore, we will explain the simulation conditions that must be met based on the numerical calculation principles.

Initiatives for Virtual Testing Using Digital Twins and Digital Authentication II
-Comprehensive CO2 Reduction and New Manufacturing System-

Kimitoshi tsuji (Digital Twins)･Tosiji kato (Doshisha University)･Tsunehiro Saito (AGC)･Masahiro Okamura (JSOL, INC.)

In manufacturing, certification through actual testing has limitations due to the lack of reproducibility and the diversity of conditions. Therefore, this paper introduces an initiative aimed at certification through virtual testing, using a full-vehicle model of an EV as a tool for digital certification, which can be applied to off-cycle credits that will be implemented in 2030 and can also be used for vehicle performance development.

Study and Proposal on model traceability using cryptographic hash function

Masahiro Okamura (JSOL)･Kimitoshi Tsuji (Digital Twins)･Tsunehiro Saito (AGC)･Hideto Noyama (Mitsubishi Heavy Industries Thermal Systems)･Toshiji Kato (Doshisha University)

This paper reports on the case study of verification using cryptographic hash functions for the traceability of models and results, which is important for digital certification using simulation models for off-cycle credits (OCC) for CO2.

Study and Proposal on OCC for Automotive Glass using EV Model (Second Report)
-POC of Digital Authentication Protocol with EV Cabin Thermal Model-

Tsunehiro Saito (AGC)･Hideto Noyama (Mitsubishi Heavy Industries Thermal Systems)･Masahiro Okamura (JSOL)･Kimitoshi Tsuji (Digital Twins)･Toshiji Kato (Doshisha University)

OCC (Off-Cycle Credit) is the important credit regulation for CO2. In the first report, we reported the results of the study on OCC using the EV cabin thermal model. In the second report, we report the simulation of annual CO2 emissions of EV as a proof of concept of a digital certification protocol using the EV cabin thermal model.

Prediction of Mutual Influence of Design Changes in Inverters and Motors in Electrified Vehicles　for CN(Carbon Neutral)

Ken Iwatsuki (AISIN)･Shiho Arimoto (Hitachi Astemo)･Kimitoshi Tsuji (Digital Twins)

With the worsening of climate change, CO2 has become a significant global challenge. We updated the previously developed model to examine the visualization and reduction of CO2 associated with product development. It introduces the interdependencies arising from changes in the design of inverters and motors in electric vehicles. Due to its high confidentiality, this model confirmed the potential for extensive CO2 reduction through collaboration with other companies in the cloud.

Construction of Online Co-Simulation Environment (Sixth Report)
-Development of Machine Learning-Based Surrogate Model of 1D Thermal Plant Model-

Ogata Kenichiro･Keijiro Koide･Motoki Takahata･Kohei Tanaka･Kazuaki Watanabe (Honda Motor)

In product development, a highly efficient vehicle development process is required from performance design to performance verification. MBD (Model-Based Development) is cited as a crucial technology for executing the highly efficient vehicle process. However, a detail granularity model as the development progress leads to higher computational costs. This study focused on a 1D thermal plant model as the detail granularity model and explores the use of machine learning as one of a method to enable fast computation while fulfilling model applications in the performance verification phase. A surrogate model was constructed using GBRT (Gradient Boosting Regression Tree) algorithm. The surrogate model achieved real-time speed while maintaining high prediction accuracy and generalization performance.