System Integration
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ADAS & Autonomous Vehicle Simulation
Validate advanced driver assistance systems and autonomous driving systems with models that include the correct vehicle dynamics and high-fidelity powertrain physics. Simcenter Amesim complements our PreScan environment and sensor simulation solution, and makes you more effective in small to massive simulation activities, by providing off-the-shelf fidelity-scalable components. You always get the optimal balance between CPU time and accuracy, for safety, comfort, fuel and electrical energy consumption, and pollutant emissions assessments. |
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Complete Vehicle Simulation
Adopt a new engineering process that considers the complete vehicle and meet stringent legal and financial constraints. Simcenter Amesim helps you effectively deploy a model-based design approach. The software supports early design phases by allowing you to create simulation models for range and performance, and enables you later to create advanced vehicle energy management models, including predictive dynamic modeling of the engine, electric powertrain, battery, HVAC and all the associated thermal management systems. |
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Model-based Controls Development
Design high-quality controls in minimal time with Simcenter Amesim, from offline to real-time simulation. Indeed, developing a successful mechatronic solution requires optimizing the mechanics, electronics and software simultaneously as an integrated system. Therefore control strategy development is more than just creating logic flow diagrams. Some controller functions need advanced algorithms with deep physical insight and high-level mathematics. Accomplish this goal with advanced control techniques, such as model-predictive control (MPC) or neural network (NN). |
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Virtual Integrated Aircraft
Increase the efficiency of your aircraft program by addressing the complexity of aircraft systems, and investigating system interactions from the early design phases. Simcenter system simulation solutions enable the virtual integrated aircraft (VIA) approach to support your model-based systems engineering, modeling and simulation, verification and validation processes. The approach can be tuned to the structure of your organization, and helps your engineering team collaborate, instead of work in silos. |
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