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304results about "Temperature compensation modification" patented technology

Secondary battery testing system

A secondary battery testing system comprises a single chip control module, a testing state control module, a data collecting module, a reference voltage module, a charging-discharging module, an inner resistance testing module and an environment temperature testing module. An outputting end of the single chip control module is connected to an inputting end of the testing state control module; the single chip control module is connected to the data collecting module in bidirectional way via data lines and connected to the environment temperature testing module in bidirectional way; outputting ends of the reference voltage module are respectively connected to the inputting end of the testing state control module and the inputting end of the data collecting module; the outputting ends of the testing state control module are respectively connected to the inputting end of the charging-discharging module and the inputting end of the inner resistance testing module; the outputting end of the charging-discharging module and the outputting end of the inner resistance testing module are respectively connected with the inputting end of the data collecting module. The invention can significantly enhance the detctjion accuracy and precision of the battery; the work is stable and reliable with inner resistance testing function, monitoring the inner resistance change of the secondary battery in the discharging process and providing the inner resistance parameter for the selection and match of the secondary battery.
Owner:CENT SOUTH UNIV

Intelligent sensor for measuring high current

ActiveCN102944737AReduce design difficultyOvercoming the technical shortcomings of measuring large currentsTemperature compensation modificationElectrical testingDigital signal processingArea network
Provided is an intelligent sensor for measuring high current. A large-power sampling resistor (R1) of the intelligent sensor converts current signals into voltage signals. Converted voltage signals are processed and filtered through a signal processing filter circuit and fed to an AD chip (U9). A negative temperature coefficient (NTC) thermal resistor (R23) is adopted by a temperature measurement module to measure the temperature of the large-power sampling resistor so as to be used for temperature compensation for the large-power sampling resistor. The AD chip converts output voltage of the measuring signal processing filter circuit and the temperature value of the NTC thermal resistor into digital signals, digital filtering processing is performed, and digital signals of voltage and the temperature are sent to an external main central processing unit (CPU) through a serial peripheral interface (SPI) communication interface isolated through an optocoupler. Isolation of the SPI communication digital signals is achieved through a digital isolation and direct current (DC) / DC conversion module, and the digital isolation and DC / DC conversion module supplies power to the signal processing filter circuit, the temperature measurement module and an analog to digital (A / D) conversion chip with a CPU processor. The main CPU and a controller area network (CAN) communication module receive external instructions and send digital signals of current measurement values.
Owner:INST OF ELECTRICAL ENG CHINESE ACAD OF SCI

Battery capacity forecasting method with self-adaptive temperature compensating function

The invention discloses a battery capacity forecasting method with a self-adaptive temperature compensating function, relates to the battery capacity forecasting method, and aims to solve the problem that the conventional Peukert equation cannot correct a capacity estimating error caused by temperature. The battery capacity forecasting method with the self-adaptive temperature compensating function comprises the following steps: 1, determining the change range of test temperature and a discharge rate; 2, performing battery discharging experiments with the discharge rates of I1, I2, ..., Im at an ambient temperature T1 respectively; 3, changing the ambient temperature into T2, repeating the step 2, and calculating Peukert equation coefficients p (T2) and k (T2); 4, establishing corresponding relationships between the ambient temperature and the Peukert equation coefficient p as well as the Peukert equation coefficient k; 5, in combination with the formula, obtaining a functional relationship between the battery capacity and the temperature as well as the discharge current. The battery capacity forecasting method with a self-adaptive temperature compensating function is applied to the field of lithium battery parameter detection.
Owner:HARBIN INST OF TECH
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