  Active thermal control is crucial in achieving the required accuracy and
throughput in many industrial applications, e.g., in the medical industry,
high-power lighting industry, and semiconductor industry. Thermoelectric
Modules (TEMs) can be used to both heat and cool, alleviating some of the
challenges associated with traditional electric heater based control. However,
the dynamic behavior of these modules is non-affine in their inputs and state,
complicating their implementation. To facilitate advanced control approaches a
high fidelity model is required. In this work an approach is presented that
increases the modeling accuracy by incorporating temperature dependent
parameters. Using an experimental identification procedure, the parameters are
estimated under different operating conditions. The resulting model achieves
superior accuracy for a wide range of temperatures, demonstrated using
experimental validation measurements.
