What is ePOP?
ePOP (electrified Propulsion Optimisation Process) is a simulation-based process which supports the core challenge of determining the optimal powertrain architectures for a specific vehicle.
Following ePOP achieves this by performing early screening of the potentially large design space describing electrified powertrain combinations that meet vehicle level requirements in a virtual environment.
ePOP allows customers to gain an understanding of trade-offs between main attributes (such as efficiency, mass, cost) of propulsion concepts for the intended application (or family of applications) early in the development cycle.
Why is ePOP relevant?
The ability to efficiently address the challenges will be key for successful System integrators and suppliers
- Electrification in its relative infancy in all sectors with sub-optimal solutions
- Early electrified propulsion systems have confirmed the potential for electric and hybrid
- System Integrators unsure of make / buy decisions in electrified propulsion systems as their added-value diminishes as IC engines ramp-out
- Tier 1s are chasing a moving target in a growing and volatile market
- Regulatory pressures will be inconsistent
- Product sustainability and total cost of ownership ‘from cradle to grave’ will become a critical attribute and differentiator
What questions could ePOP help answer?
- How can the electrification solutions be rapidly narrowed down whilst still ensuring next-generation competitiveness with robust challenge to pre-conceived ideas?
- How can the demands of sustainability be integrated with the usual development processes?
- How can modular and family approaches be enabled to ensure cost-competitiveness with ‘zero’ product performance compromise?
- How can tier 1s and tier 2s present compelling and differentiated product propositions at the vehicle OEM planning and requesting stage?
- How can the disparate disciplines within OEMs and tier 1s talk the same language with common and joined-up objectives?
How does ePOP work?
ePOP consists of three main process steps
- Input Data - Set boundary conditions
- Simulation - Defining concepts
- Post Processng - Filtering & Performance simulation