System Level Cost Optimisation of BEV Powertrain Components and Architecture

Autoren

Dr. Tim Woolmer, Ryan Potter, Tom Hillman, YASA Limited, Oxford

Zusammenfassung

The cost of Battery Electric Vehicle (BEV) powertrains offer a fundamentally new challenge to OEMs: the efficiency, mass and cost of the individual sub-systems are interrelated in such a way that a whole system design approach should be adopted to find the optimum vehicle solution. Typically, the OEM is motivated to minimise the BEV cost whilst maintaining a desired set of criteria, such as range, top speed and acceleration capability. A cost optimisation technique, built on a mass compounding algorithm, was presented to address this issue. However, as discussed in this paper, due to the large number of cumulative permutations, finding a more intelligent
computation technique to solve this problem is required. This paper also picks some specific points to enable a comparison between the new and original algorithm. Whilst the original algorithm correctly predicted certain trends, it was susceptible to optimisation limitations, such as its inability to reshape the torque speed map and efficiency contours. The new algorithm is particularly useful for optimising the
permanent magnet mass with inverter size, and helpful for predicting future technology roadmaps against different vehicle types and requirements.

Mitglieder-Login