It is well understood that the Electric Vehicle (EV) range is a primary consideration in the purchase decision. Effective energy management is critical for managing vehicle range and is, in turn, increasingly reliant on complex and highly integrated controllers. These controllers combine multiple individually controlled sub-systems and link them with higher-level control to minimize energy consumption and maximize range. Engineers have turned to model-in-the-loop (MIL) controller development to develop these controllers. Such exercises aim to use a simulation of the system as a plant model paired with a control system model. These two models are combined to allow engineers to test how changes to the controller interplay with the system's overall performance. Figure 1 shows a representation of this process. This blog post will explore the supporting simulation technologies and methods for leveraging 3D CAE models in TAITherm for MIL controller development.
Thermo Analytics is a Michigan-based software company that provides solutions such as thermal management and CAE coupling for industries including defense and aerospace.