[Case Study] Model-Based Adaptation Work in Engine Development

A series of tasks necessary for MBC, such as sequential DoE, measurement, sequential modeling, and accuracy verification, have been automated.

We would like to introduce a case where Toyota Motor Corporation utilized "modeFRONTIER for Calibration" (hereafter mFC) in model-based calibration tasks for engine development. To achieve high efficiency, low fuel consumption, and low emission engines, the increasing complexity of engine control systems, including VVT, EGR, turbocharging, and direct injection, necessitates determining optimal control constants while considering constraints and trade-offs such as ride comfort, vibration, and noise. This requires an increase in testing on engines and vehicles, making the reduction of exponentially increasing calibration workload an urgent issue across the industry. Moreover, due to the complexity of the phenomena involved, relying solely on the experience, knowledge, and skills of calibration specialists has its limits in finding suitable calibration values. With the introduction of mFC, a series of tasks necessary for model-based calibration (MBC), including sequential Design of Experiments (DoE), measurement, sequential modeling, and accuracy verification, have been automated. 【Features of modeFRONTIER】 ■ A new optimization tool that supports "thinking" ■ Richly equipped with unique methods and functions to meet the needs of design and development sites *For more details, please refer to the PDF materials or feel free to contact us.

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