Simply Cozy - Adaptive Controlling for an Individualized Climate Comfort
In the last conference proceedings of ETA conference [1, 2], a new approach of an HMI concept allowing the user to enunciate his or her current thermal comfort has been presented. The goal figured is to decrease actuate complexity and reduce the quantity of user interactions to an absolute minimum. To achieve this goal, one needs to know the users preferences under every condition, which can be perfectly recorded with direct feedback of the thermal comfort.
Adaptive algorithms should be able to “learn” from user interactions and lead to the aimed degree of individualization. Therefore, in a first step, regression of specific characteristic curves in an automatic climate controller is used, combined with the above mentioned HMI concept. In contrast to other approaches, the regression of characteristic curves allows to adapt the complete climate control to the needs of a user for the full range of a selected configuration space, ensuring continuous functions and direct variation of the application instead of choosing discrete and predefined settings. In addition, these adjustments are stored in an individual user profile that can be transferred to arbitrary vehicles – equipped with this system – to provide the user with his individual application independently of his own vehicle.
KeywordsClimate control Individualization Thermal comfort
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