Master the creation of high-fidelity infrared (IR) target models and datasets that withstand the demands of real-world analysis. This technical session provides an overview of practical workflows, common scenarios, and modeling strategies used to produce reliable IR signatures for testing and algorithm development.

Applications span a wide range of platforms, including ground vehicles, aircraft, drones, satellites, and ships—with focused discussion on defensive measures such as flares. Key takeaways include:

• IR Target Models & Datasets Creation – best practices for target model setup, scenario definition, and repeatable dataset generation to support analysis, testing, and algorithm development.
• Sensor Modeling and Validation – techniques and validation approaches that help ensure credible, defensible results.
• Process Integration – coupling strategies with third-party tools, including workflow design, integration options, and trade-offs, with examples highlighting how CoTherm can streamline and automate IR modeling workflows.
• Automated Scene Generation – streamlining workflows for textured and Google-based terrains, composite imagery, and irradiance polar outputs—supporting faster iteration and scalable analysis.

Discover how advanced human simulation drives smarter decisions for automotive, textiles, medical, and protective equipment. This technical session bridges theory and application, demonstrating how simulation and testing work together to predict, evaluate, and validate human comfort and energy performance.

This technical session covers the simulation lifecycle within the Human Thermal Extension:

• Combining Simulation and Testing – practical approaches for developing measurement plans, pre-conditioning subjects, selecting appropriate comfort metrics, and aligning simulation results with evaluation procedures such as ISO 14505-2, ASTM F2371, and Green NCAP.
• Pre-processing – advanced workflows using the Human Thermal Clothing Manager, including clothing and material definition and scenario setup.
• Analysis – comfort prediction, moisture modeling and transport, and specialized scenarios including firefighter and medical environments.
• Post-processing – insightful visualization and interpretation using the Thermal Comfort Analysis Tool to support confident design decisions.

Explore advanced workflows for HVAC modeling and vehicle energy management, with a focus on coupling strategies, fast-running surrogates, and controller integration. This technical session highlights practical approaches for connecting 3D thermal simulation with system-level tools to enable faster iteration, more realistic drive-cycle studies, and comfort-aware energy decisions.

This technical session explores end-to-end workflows for HVAC and energy management, including:

• Coupling with System Tools – defining exchange variables and interfacing with common environments such as GT-Suite, MATLAB, KULI, Modelon, AMESIM, and Python.
• Multi-Tool HVAC Coupling Workflows – advanced workflows that incorporate multiple coupling approaches, including using Cool3D (from GT-Suite) and RapidFlow (built-in flow solver).
• Full-Vehicle Energy Management – extending coupling strategies to full-vehicle studies, including comfort-based controllers and energy management trade-offs.
• AI-Enabled Smart HVAC Modeling – creating cabin ROMs (surrogates, digital twins, neural networks) and coupling them with HVAC models for rapid exploration of control strategies.

p Tackle the thermal challenges that shape xEV performance, safety, and reliability—from underhood heat protection to battery behavior across real-world drive cycles. This technical session highlights practical workflows for simulating coupled vehicle systems, evaluating thermal management strategies, and connecting operating conditions to performance and durability outcomes.

Coverage spans vehicle- and battery-level challenges across realistic drive cycles, including:

• Vehicle-Level xEV Thermal Workflows – underhood/underbody heat protection, exhaust modeling, and automated thermal management workflows.
• Drive-Cycle Simulation – applying realistic drive cycles to evaluate thermal response and operating constraints over time.
• Battery Thermal Management – fast-charging simulation, bus bar thermal design, and high-voltage cable modeling to support robust pack and system design.
• Battery Energy Management – combined drive-cycle modeling to understand energy trade-offs and interactions between cabin comfort and battery performance.
• Battery Lifetime and Reliability – connecting thermal behavior to lifetime estimation across automotive drive cycles.
• Battery Thermal Runaway Analysis – simulation workflows that support thermal runaway evaluation and standard-driven assessment (as applicable).