Reducing emissions and the carbon footprint of our society have become imperatives requiring the automotive industry to adapt and develop technologies to strive for a cleaner sustainable transport system and for sustainable economic prosperity. Electrified HEV, PHEV and range extender powertrains present challenges in terms of thermal management due to the different load conditions that a hybrid ICE will experience compared with a conventional powertrain. In addition, the market is driving a significantly shortened development cycle emphasising the importance of using analytical methods to optimise systems instead of relying on costly physical development programmes. A key requirement for meeting these challenges is to accurately predict the thermal loading and temperatures of an IC engine quickly under multiple full and part load conditions, both as a steady state and as a transient. Accurate prediction of temperatures is essential to meet the challenges of:
- Managing thermal warm up
- Minimising friction and oil consumption to meet ever-challenging emission targets
- Reducing noise, vibration and harshness (NVH)
This webinar hosted by engineering.com presents how Ricardo meets these challenges through virtual product development enabling the optimisation of these key attributes both at a component and system level.