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Battery electric vehicles are quickly gaining momentum to improve vehicle fuel efficiency and emission reduction. However, they must be designed to provide adequate range on a single charge combined with good acceleration performance, top speed, gradeability, and fast charging times. The paper presents a model for sizing the power train of an electric vehicle, including the power electronic converter, electric motor, and battery pack. A major assumption is that an optimal wheel slip rate can be achieved by modern vehicles using slip control systems. MATLAB/Simulink was used to model the vehicle powertrain. Simulations were conducted based on different speed and acceleration profiles. The purpose of the study focused on the motor and power electronics sizing requirements to achieve optimal range and performance.

Optimal Vehicle Dynamics is one of the key metrics that all Vehicle Manufacturers strive to achieve. The metrics vary from customer to customer and vehicle to vehicle. The vehicle dynamics represent the DNA of the car and the manufacturer. The challenge with the current state of pre-autonomy always is to achieve the state of vehicle dynamics that delivers stability/safety yet the responsiveness needed. In addition, there are always tradeoffs between ride/NVH and handling, where vehicle manufacturers end up sacrificing one for the other. The paper establishes the baseline of electrification advantages to address the past vehicle dynamics challenges and then discusses how the traditional vehicle dynamics design and metrics will evolve as the vehicle architecture migrates from mechanization/electrification to level 4/5 Autonomy. Customer preferences and demands will change with Autonomy.

Ensuring the safety of vehicle occupants has always been the primary focus of automakers. To achieve this goal, they have invested in the development of active safety features, which are designed to prevent accidents from occurring in the first place. These innovations are driven by a desire to save lives and reduce the risk of injury or death on the road. The implementation of advanced driver assistance systems (ADAS) and automated driving functions requires a high level of complexity and coordination between various subsystems. To meet these challenges, modular design of the domain controller has emerged as a promising approach. By separating the controller into smaller, specialized modules, it is possible to more efficiently and effectively manage the various functions needed for ADAS and automated driving.

Total vehicle integration and design is a complex process and deals with interactions of many subsystems. The subsystems in a vehicle not only have to perform their role but interfaces between the subsystems must be well understood to design for all the interactions. The global automotive market is following electrification, digitization and connectivity trends that eventually lead to Autonomy. Therefore, the vehicle integration design process needs to include these new use cases of these trends. The process starts with establishing the top-level vehicle metrics relative to key deliverables of the vehicle ranging from providing comfortable environment to the driver to good performance. The process of establishing vehicle level metrics is not trivial and quite often must be derived from the customer verbatim. Frequently, there are conflicting requirements and priority must be given to one over another.