Design and development of a high-efficiency electric drive train for hybrid electric vehicle applications

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It is a well known fact that the major cost in modern hybrid electric vehicles (HEV) is incurred in developing and managing the energy storage system and on-board power generation. An effective way to economise HEV operation is to design an optimally efficient electric drive train. Keeping this fact in mind, the major goals of this project are two-fold. The first goal is to model the noteworthy DC/AC traction inverter and motor losses (efficiencies) over typical city and highway driving schedules. A brush-less DC (BLDC) motor will be modeled and designed for propulsion. This leads to the subsequent key target of the proposed project, which includes the design and implementation of a novel hybrid control strategy, in order to maximize the electric drive train efficiency.The groundwork calculations and estimated electric drive train efficiencies, summarized in the first part of the project, form a solid basis for development work in the area of HEV system-level control. Based on this knowledge, a novel control strategy will be designed, the principal objective of which would be to eventually maximize the efficiency of the electric propulsion system. The HEV control strategy will essentially use the motor for fulfilling vehicular power demands and maintaining a specific charge within the batteries. The core challenge would be to find the most optimal operating region (from the speed-torque operating data) that governs maximum motor efficiency. Some of the critical control parameters could include, battery state-of-charge (SOC), all-electric driving capability, and the optimal hybridization factor (HF). Therefore, the key experiment would be to investigate the best possible combination of various control variables, in order to maximize system efficiency.In summary, the in-depth efficiency modeling and design implementation proposed in this project, based on the development of a novel HEV control strategy, will support the escalation of maximum efficiency levels of electric drive trains for future advanced vehicle applications.