A system includes a memory array, a thermometer, and control logic, operatively coupled with the memory array and the thermometer, to perform operations including causing the thermometer to obtain a first temperature result, monitoring a time since obtaining the first temperature result, determining whether the time satisfies a threshold time condition, in response to determining that the time satisfies the threshold time condition, causing the thermometer to obtain a second temperature result from an automatic temperature reading, determining a difference between the second temperature result and a previously stored temperature result, and filtering the second temperature result based on the difference to obtain a new stored temperature result.

A system includes a memory array, a thermometer, and control logic, operatively coupled with the memory array and the thermometer, to perform operations including causing the thermometer to obtain a first temperature result, monitoring a time since obtaining the first temperature result, determining whether the time satisfies a threshold time condition, in response to determining that the time satisfies the threshold time condition, causing the thermometer to obtain a second temperature result from an automatic temperature reading, determining a difference between the second temperature result and a previously stored temperature result, and filtering the second temperature result based on the difference to obtain a new stored temperature result.

A system includes a memory array, a thermometer, and control logic, operatively coupled with the memory array and the thermometer, to perform operations including causing the thermometer to obtain a first temperature result, monitoring a time since obtaining the first temperature result, determining whether the time satisfies a threshold time condition, in response to determining that the time satisfies the threshold time condition, causing the thermometer to obtain a second temperature result from an automatic temperature reading, determining a difference between the second temperature result and a previously stored temperature result, and filtering the second temperature result based on the difference to obtain a new stored temperature result.

A battery system includes a battery module, thermistor, and ECU. The thermistor detects the temperature of a first area in the battery module. The ECU calculates the estimated temperature of a second area having a higher temperature than the first area in the battery module, by adding a temperature correction amount to a detected value of the thermistor. The ECU is configured to set the temperature correction amount according to a time differential value of the detected value. Then, the ECU sets the temperature correction amount such that the rate of increase of the estimated temperature of the second area does not exceed a predetermined rate that is larger than zero.

Disclosed is a traction battery self-heating control method and a device. Acquiring a second temperature of a rotor at a current sampling time according to system parameters and a first temperature of the rotor at a previous sampling time, and estimating a third temperature of the rotor at a next sampling time according to the first temperature and the second temperature, and stopping the self-heating of the traction battery when the third temperature reaches a demagnetization temperature of the rotor. Whether to stop the self-heating of the traction battery is determined by estimating a rotor temperature under the self-heating condition, and comparing the rotor temperature with the demagnetization temperature of the rotor, and thus the self-heating control of the traction battery is realized.

Disclosed is a traction battery self-heating control method and a device. Acquiring a second temperature of a rotor at a current sampling time according to system parameters and a first temperature of the rotor at a previous sampling time, and estimating a third temperature of the rotor at a next sampling time according to the first temperature and the second temperature, and stopping the self-heating of the traction battery when the third temperature reaches a demagnetization temperature of the rotor. Whether to stop the self-heating of the traction battery is determined by estimating a rotor temperature under the self-heating condition, and comparing the rotor temperature with the demagnetization temperature of the rotor, and thus the self-heating control of the traction battery is realized.

A system and a method of detecting a voiding event of a care-receiver uses a temperature sensor for measuring temperatures in real-time at a location adjacent a lower portion of the care-receiver's torso where the voiding event is to occur. The system and method then determines the voiding event based on the measured temperatures.

A system and a method of detecting a voiding event of a care-receiver uses a temperature sensor for measuring temperatures in real-time at a location adjacent a lower portion of the care-receiver's torso where the voiding event is to occur. The system and method then determines the voiding event based on the measured temperatures.

Techniques for performing in-memory matrix multiplication, taking into account temperature variations in the memory, are disclosed. In one example, the matrix multiplication memory uses ohmic multiplication and current summing to perform the dot products involved in matrix multiplication. One downside to this analog form of multiplication is that temperature affects the accuracy of the results. Thus techniques are provided herein to compensate for the effects of temperature increases on the accuracy of in-memory matrix multiplications. According to the techniques, portions of input matrices are classified as effective or ineffective. Effective portions are mapped to low temperature regions of the in-memory matrix multiplier and ineffective portions are mapped to high temperature regions of the in-memory matrix multiplier. The matrix multiplication is then performed.

Techniques for performing in-memory matrix multiplication, taking into account temperature variations in the memory, are disclosed. In one example, the matrix multiplication memory uses ohmic multiplication and current summing to perform the dot products involved in matrix multiplication. One downside to this analog form of multiplication is that temperature affects the accuracy of the results. Thus techniques are provided herein to compensate for the effects of temperature increases on the accuracy of in-memory matrix multiplications. According to the techniques, portions of input matrices are classified as effective or ineffective. Effective portions are mapped to low temperature regions of the in-memory matrix multiplier and ineffective portions are mapped to high temperature regions of the in-memory matrix multiplier. The matrix multiplication is then performed.