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ECU Optimization Support Tool ORANGE
ORANGE Navigator & Optimizer

Easily set up fitting operation plans
Efficiently supports fitting tasks with various approaches.

To reduce CO2 emissions, the electrification of vehicles such as EVs, HEVs, and PHEVs is progressing. The control parameters of vehicles, including engine control, motor control, and battery management, are increasing exponentially. Additionally, there is a need for multi-objective optimization tasks that reduce fuel consumption while also minimizing exhaust gas emissions.
Multi-objective optimization is efficiently performed using optimization tasks based on response surface methodology.

ORANGE Navigator executes measurements for model creation through autonomous driving. It is possible to set conditions related to the experimental plan, such as monitoring measurement values and controlling external device settings.

ORANGE Optimizer can create optimal ECU maps based on collected data using response surface methodology. This allows for optimization with approaches suited to the circumstances, enabling efficient creation of ECU maps.

steady suitability

Features

  • Integrating the driving schedule and experimental plan for unified management, enabling autonomous driving through collaboration with the FAMS system.

  • Support for various experimental design methods (DoE) and realization of planning fitting tests in high dimensions (up to 20 dimensions).

  • Conformity tests that incorporate monitoring and control of temperature conditions and directives related to the configuration of measuring instruments are possible.

  • Equipped with limit point search function and boundary planning.

  • Local multi-objective optimization, global optimization, and smooth ECU map exploration are possible for up to 10 objectives.

  • Reflecting general driving patterns in driving simulation optimization.

  • Achieving boundary optimization in high dimensions (up to 20 dimensions)

  • steady suitability

By combining multiple steady-state models to create a large-scale model and inputting operating conditions into the model, it is possible to conduct driving simulations. Although the model does not include delay components, which means the simulations may not be entirely accurate, it can provide a reference for optimization results.

Transitional suitability option

Features

  • To create a transient simulation model based on a steady-state model, effectively utilize the data from steady-state fitting.

  • It is possible to grow the plant model by combining small element models to create a large model.

  • For the creation of the transitional model, ECU communication is implemented using the conventional standard (ASAP3). High-speed ECU communication is not required.

  • The transitional operation consists of a repeating trapezoidal pattern (sweep + stability), which can be measured with existing equipment.

  • Able to manage multiple data sets in project management, with a smooth data transfer from ORANGE Navigator to ORANGE Optimizer.

  • It is possible to arbitrarily set the driving patterns for simulation and obtain transitional optimization results tailored to the destination.

  • 1: Reflect transient changes during operation in the plant model 2: Collaborate between ECU control and the plant model
    ①: Reflecting transient changes during driving in the plant model
    ②: Coordinating control in the ECU with the plant model

By connecting delay components and state variables such as temperature to a steady-state model, the accuracy of transient simulations can be improved. Additionally, by connecting control delays from the ECU to the plant model, further accuracy improvements can be achieved, along with the optimization of control constants.

The concept of transitional adaptation

Based on the steady-state model, we will add transient elements.
The transient simulation model can simulate time series data by inputting time series data.
For time series simulation, it is important to reproduce delays in temperature and exhaust gases.

  • The concept of transitional adaptation
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