To apply a negative temperation coefficient(NTC) thermistor to achieve high temperature detection in a fixed interval, a parameter optimization method of a temperature measurement system (TMS) is proposed based on an expected relative temperature tracking control strategy. First of all, the parameters of TMS are initially optimized for a target temperature range based on nominal values of a NTC thermistor. Then, using an expected relative temperature tracking control strategy ensures that the steady outputs of TMS are within a specific distance to the upper and lower boundaries. Thirdly, the actual temperature range, which is measured by a standard temperature measurement device, is determined if it meets the design requirements. If it does not, the resistances of NTC thermistor is calculated corresponding to the actual temperatures, the parameters of NTC thermistor is amended, and then the parameter readjustment of TMS is achieved. At last, experiments are carried out by means of a Fused Deposition Modeling platform and the results show that the proposed parameter optimization method is valid, which realizes the optimal design of TMS for the fixed interval, and is helpful to improve the measurement accuracy of TMS.