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Latest Ricardo Software boosts fuel cell modeling capabilities

The latest (2020.4) release of powertrain design and optimization software from Ricardo brings a wealth of new features and capabilities for fuel cell, electrified and conventional vehicles, offering speedier simulations and improved productivity.

Notable among the new capabilities and features delivered in the 2020.4 release is the inclusion of a new fuel cell library within the complete vehicle system modeling and simulation package IGNITE.

This feature enables software users to investigate and compare different design and powertrain system architecture strategies extremely quickly. The library enables users to simulate Polymer Electrolyte Membrane (PEMFC) fuel cell systems to investigate how this technology can be applied to automotive and rail vehicles. The library includes all the necessary objects to model such systems, and is validated against published data for a fuel cell vehicle driving the US06 drive cycle.

Significant enhancements have also been made to the real-time performance simulation package WAVE-RT, with higher fidelity models and improvements to the process and run time of simulations.

Elsewhere in the 2020.4 release, improvements have been made to the combustion modeling capabilities of the VECTIS CFD package. With the pressure on automakers to reduce vehicle emissions and improve fuel economy in order to comply with future regulations in the US, Europe and China, a detailed direct kinetics combustion model is now available to assist in meeting ever more stringent new targets. The Ricardo Detailed Direct Kinetics (R2DK) Framework provides VECTIS with the capability of solving detailed chemical kinetics for combustion on the fly as the simulation progresses.

Enhancements have also been made to the speed and productivity of VECTIS simulations through two key developments. First, triggered convergence criteria allow settings to be altered on the fly as the simulation progresses without manually stopping, adjusting and restarting the simulation.

Second, restarting simulations with different meshes allows simulations to be arbitrarily restarted from grids of different mesh density or different topology. This enhancement provides an observed 20-30% improvement in overall runtime for in-cylinder simulations.


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