Driving Maneuvers Analysis
DIGITAL ENGINEERING AND EVALUATION
Exploring the future of mobility with advanced simulation techniques
At the forefront of automotive innovation, predictive evaluation of driving maneuvers continues to be an important topic. Our goal is to harness the power of multi-body simulation (MBS) to predict performance outcomes as early as possible, paving the way for smarter, more efficient vehicles.
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An important innovation in our approach is the realistic mapping of the gearshift process. Based on a minimum of simulation settings, the entire model is designed to be self-regulating. The center piece of this model class is the model controller.
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To achieve high-quality results, we take into account all components of the vehicle powertrain, from engine, transmission and drivetrain to driving resistance and wheel-to-road contact, to ensure a comprehensive understanding of vehicle dynamics and performance.
This model setup is able to perform any type of driving maneuver:
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Driving cycles
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Engine Starts and Stops
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Shift patterns
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etc.
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A simulation model for this purpose usually includes:
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ICE model with cylinder pressure maps
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Electric motor model for hybrid setup: Can be placed at any point in the drive train due to its modularity.
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Gearbox and Clutch: Shiftable gears and clutch to cover inertia effects.
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Drive Train and vehicle model: For an arbitrarily accelerating system, the drivetrain must be modeled up to the wheel road contact and other vehicle resistances. Front wheel, rear wheel and all-wheel concepts
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Controlling Unit: Is connected to the MBS model in real time. Records engine and vehicle parameters, evaluates them and uses them to create engine load and status requests.
Our Engineering Approach:
With our modular model structure every part of the driveline can be modeled to the complexity which is required for its desired result output. This approach allows for the comprehensive design and optimization of each technical component while considering their interactions. We focus on investigating potential issues in different components but also their interaction:
Peak loads: Appearing short time peak loads as a result of sudden load changes (gear changes, clutch engagement, load changes). Evaluation of the dynamic behavior of the whole powertrain.
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Interactions: Critical resonances originated by interaction in between different powertrain components.
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Driving Performance: Validation of general function and performance.
