[Synopsys IP Resources] How to fully support electric vehicle virtualization verification from system to software

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[Synopsys IP Resources] How to fully support electric vehicle virtualization verification from system to software [Copy link]

Road vehicles have long been considered one of the most challenging developments. The tight interaction between electrical and mechanical components and the inherent safety requirements of high-speed/high-power operation are the most fundamental aspects that must be met. Added to this are the challenges of the physical environment: temperature and humidity ranges, noise, vibration, and component aging. The rapid rise of electric vehicles (EVs) avoids some issues, such as reliance on highly flammable fuels, but brings with it the dangerously high voltages and currents of large battery packs, leading to the risk of heat dissipation and fire. This also brings new challenges. The number of electronic components in an EV is much greater than that of an internal combustion engine, and the interaction between all the components of the vehicle also includes feedback loops that are unique to EVs.

Addressing these challenges during the design and validation process is critical. Bench testing (also known as mule testing) is a labor-intensive and expensive process because injecting realistic faults can damage or destroy physical prototypes, and the process is slow and involves considering hundreds or even thousands of potential fault types. Using real vehicles for validation is obviously very dangerous because any errors detected while driving could result in the loss of life. In addition, any electronic errors detected after silicon is manufactured or software is rolled out can cause project delays and significant cost overruns before it can be "translated" into silicon. Finally, controller software may not function correctly due to component tolerances, resulting in later subsystem failures and recalls.

This white paper proposes an attractive alternative: Virtual Prototyping of Electric Vehicles, where the complete electromechanical, hydraulic and thermal system, including its embedded software, can be validated entirely through simulation. The simulation model of the electric vehicle is an executable specification and is considered a virtual prototype. In addition, simulation allows non-intrusive investigation of all possible variants of the subsystem topology. Implementation issues regarding component differences and other problems can be discovered and investigated early, so that improvements can be made before the actual hardware prototype is launched. This shortens development time and helps ensure that the first hardware prototype is more reliable. In addition, since many verification tests and soft/hard fault analysis can be done through the simulation model of the electric vehicle, the physical prototype testing time can be shortened. The benefit is that the design and validation process of electric vehicles is faster, more efficient and more cost-effective.

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