Team of experts in different areas, motors, power electronics, vehicle simulation and optimization together created a coherent framework of models that’s scalable within the design space of each subsystem. Quasi-static models with detailed efficiency map allowed fast simulation time. Particle swarm optimization (PSO) algorithm were used to optimize designs with upto 10 degrees of freedom. Each probable solution was extensively evaluated on KPIs like vehicle range on WLTC cycle, vehicle performance and system cost. Banking on the past experiences, engineering sense and using these advanced optimization algorithm, the challenges were overcome to support the management with making informed strategy decisions.