fig1 shows the thermal equivalent circuit diagram of a smart phone from the related art including one temperature sensor . the analogy between thermal and electrical networks may be used for modeling the temperature behavior . for a first - order thermal network including one temperature sensor and a heat source , the equivalent circuit diagram shown in fig1 is produced . with the aid of equation ( 1 ), it is possible to ascertain the ambient temperature . furthermore , an “ accuracy statement ” of the estimated temperature is also indicated . the determination of the ambient temperature with the aid of equation ( 1 ) does not provide the desired result in all operating modes . the cause for this is that c 1 r 1 = τ is not constant , depending on the instantaneous operating condition of the smart phone . an incorrectly assumed time constant τ results in an imprecisely estimated ambient temperature . this is expressed in , among other things , overshooting the estimated ambient temperature after a sudden temperature change . measurements show that the temperature measured by the sensor may be broken down into multiple phases after a sudden ambient temperature change . the first is the heating of the sensor , which occurs rapidly and consequently results in a low τ . the second is the heating of the printed circuit board onto which the sensor is soldered , which occurs somewhat slower and consequently results in a moderate τ . the third is the heating of the entire telephone , which occurs the slowest and consequently results in a high τ . the different phases are apparent in fig4 . overshoots may be attenuated by a low pass . a disadvantage of this method is that the system consequently behaves sluggishly . this results in an increased setting time for the estimated temperature . the user notices this effect and disadvantageously takes note of it . fig2 shows the thermal equivalent circuit diagram of a smart phone from the related art including three temperature sensors . the temperature behavior may also be modeled in relation to the environment using multiple internal temperature sensors tg 1 , tg 2 , tg 3 , different thermal resistances r 1 , r 2 , r 3 or capacitances c 1 , c 2 , c 3 and one resistor r 12 and r 23 each between the temperature measuring points , as shown in fig2 . it should be assumed here that tg 1 corresponds to the temperature of the sensor having low thermal resistance r 1 and low capacitance c 1 . furthermore , tg 2 corresponds to the temperature of the printed circuit board , onto which the temperature sensor is soldered , having moderate thermal resistance r 2 and moderate capacitance c 2 . finally , tg 3 corresponds to the temperature of the telephone containing the printed circuit board including the sensor , having high thermal resistance r 3 and high capacitance c 3 . if a sudden temperature change is now simulated , it is possible to observe the different phases in the temperature characteristic curve of the sensor , as described above . multiple internal temperature sensors aid in improving the estimation of the ambient temperature , since the different heating phases may be measured by the different temperature sensors . however , only a limited number of temperature sensors of equivalent quality are available in one device for economic reasons . the different phases of heating or cooling are described as examples in fig1 . different phases in the temperature characteristic curve may , among other things , be observed in the following events which represent different operating conditions . these include self - heating during normal use of the smart phone , charging the battery and changes in the ambient temperature such as , for example , a sudden ambient temperature change when moving into a different room , when entering a building , or when removing the device from a pants pocket , etc . due to the different operating conditions , it is difficult to determine the ambient temperature even when multiple temperature sensors are installed . the core of the present invention is a dynamic parameter adjustment . dynamic parameter adjustment τ ( t ) makes it possible to model the different phases of the temperature characteristic curve . consequently , the ambient temperature measurement may also be improved using a small number of internal temperature sensors . the ambient temperature may in particular also be determined using only one internal temperature sensor . this also makes it possible to avoid an overshoot in the estimated temperature characteristic curve . furthermore , the dynamic parameter adjustment is dependent on the operating condition . for that reason , the present invention also includes active detection of the instantaneous operating condition by analyzing the temperature sensor data and power consumption of the device . an estimation of the accuracy of the temperature prediction is dependent on the operating condition and time . in addition , the estimation of the accuracy is based on the temperature sensor data and the power consumption of the smart phone . fig3 a and 3b show a method according to the present invention for determining the ambient temperature of a mobile device in two exemplary embodiments . the method includes an ambient temperature estimation and is broken down into at least three steps 10 , 20 and 30 according to fig3 a . at the beginning of the method , the operating condition of a mobile device , for example , a smart phone , is detected in a first step 10 , i . e ., the thermal condition of the device is ascertained . the thermal condition is detected based on the instantaneous thermal condition , the self - heating and the measured value of the temperature sensor or the measured values of the temperature sensors . a comparison of the second derivation of the measured temperature after time with a threshold value thr has proven to be an advantageous implementation for the detection of a sudden temperature change . advantageously , “ temperature change phase 3 ( heating of the entire telephone → slowly , high τ ),” may be detected by in a second step 20 , parameter ( τ ) is estimated as a function of the operating condition , the dwell time in the instantaneous operating condition ( how long the instantaneous operating condition has already been detected ), the self - heating and the measured values for the temperature . the above - described effect that the internal temperature curve may be modeled using different time constants is taken into account here . in parallel , the accuracy of the ambient temperature calculated later is estimated based on the input variables such as , for example , operating condition , and measured values for temperature and also the charge current . an accuracy statement of the estimated ambient temperature indicates the confidence range for the estimated ambient temperature and is consequently very helpful for using the ambient temperature . the ambient temperature is calculated with the aid of the estimated time constant according to equation 1 in a third step 30 . subsequently , the ambient temperature may optionally be filtered in a step 40 , as shown in fig3 b . this takes place , for example , with the aid of a low pass filter , such as a second order iir filter . fig4 shows estimated ambient temperature 100 of a mobile device and measured temperature 200 of an installed sensor . in the upper diagram , the actual ambient temperature is plotted as a reference temperature . this is a step function including overshoot because the mobile device is grasped and brought from a cold environment into a warm environment . furthermore , the temperature of the mobile device is plotted as a telephone temperature in the upper diagram . this curve initially rises rapidly in the warm environment . a rapid temperature change signifies a low τ ( t ). after that , the rise in temperature levels off . this signifies a continuously rising τ ( t ). the telephone temperature approaches the ambient temperature over time . only a slow temperature change occurs any more . this signifies a high constant τ ( t ). the curve of dynamic parameter τ ( t ) over time is correspondingly plotted in the lower diagram . finally , the ambient temperature calculated with the aid of the dynamic parameter is plotted in the upper diagram . in most time domains , it reflects the instantaneous ambient temperature very well .