The variety of transmissions available in the market today has grown exponentially within the last 15 years, all while increasing in complexity. The result is usually that we are actually coping with a varied quantity of tranny types including manual, typical automatic, automated manual, dual clutch, consistently variable, split power and 100 % pure EV.
Until very recently, automotive vehicle manufacturers largely had two types of transmission to choose from: planetary automatic with torque converter or conventional manual. Today, however, the volume of choices available demonstrates the adjustments seen across the industry.

That is also illustrated by the many various kinds of vehicles now being manufactured for the market. And not just conventional vehicles, but also all electrical and hybrid automobiles, with each type needing different driveline architectures.

The traditional advancement process involved designing a transmission in isolation from the engine and all of those other powertrain and vehicle. Nevertheless, that is changing, with the limitations and complications of the method becoming more widely recognized, and the constant drive among manufacturers and designers to provide optimal efficiency at decreased weight and cost.

New powertrains feature close integration of components like the prime mover, recovery systems and the gearbox, and in addition rely on highly advanced control systems. That is to assure that the best amount of efficiency and efficiency is delivered at all times. Manufacturers are under improved pressure to create powertrains that are brand new, different from and better than the last version-a proposition that’s made more complex by the necessity to integrate brand elements, differentiate within the market and do it all on a shorter timescale. Engineering groups are on deadline, and the advancement process needs to be better and fast-paced than ever before.
Until now, the usage of computer-aided engineering (CAE) has been the most typical way to develop drivelines. This process involves elements and subsystems designed in isolation by silos within the organization that lean toward confirmed component-level analysis equipment. While they are highly advanced tools that allow users to extract very reliable and accurate data, they remain presenting data that’s collected without factor of the complete system.

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