EV manufacturers are turning towards total vehicle simulation technology to assist inefficient development of vehicles.
If automotive OEMs can be provided with the information to understand and quantify vehicle designs, as well as conceive and calibrate software before a single prototype is created, then waste is reduced and better designs are produced faster.
To achieve this, Claytex has been deploying its VeSyMA suite of simulation libraries with major OEMs to achieve their goals and targets with electric vehicles.
Optimizing the thermal performance of an EV directly benefits the range and usability of the vehicle. But this is easier said than done. Both cooling the interior, as well as maintaining cabin temperature present difficulties for EVs, as drive power needs to be utilized for these applications. A lack of waste heat energy rejection makes heating a particular concern.
Coupling detailed component models together enables an accurate picture of system-wide performance to be generated. Heating, ventilation and air conditioning (HVAC) systems are complex with thermal, mechanical, and fluid properties to be considered. Condensing, expanding, and cooling an internal medium to transport heat from one location and rejecting it to another means many different elements contribute to its function. To further complicate matters, boundary conditions of the areas being conditioned are vital to the thermal performance of the total vehicle.
By considering the dynamics of the internal media through the different stages of the HVAC unit, the system model possesses sufficient fidelity to be used as a plant model for control system development virtually. Every action the controller makes is implemented with the correct non-linear hysteresis or control lag associated with the HVAC unit, meaning optimizations to the controller obtained virtually can be directly transferred to the physical design.
As the HVAC model is a physical one, any changes to the design can be quickly included in a simulation, without having to reformulate or derive a new state-space model. Similar modeling principles can be used to create models of heat pump systems, enabling the benefit of cycling and redeploying heat energy around the vehicle to be optimized.
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