Disclosed is a method of predicting cycle life of a secondary battery comprising a carbon-based hybrid negative electrode, including: measuring a lattice d-spacing of a carbon based negative electrode active material of a target carbon-based hybrid negative electrode using an X-ray diffractometer during charging/discharging of a target secondary battery, and plotting a graph of changes in lattice d-spacing value as a function of charge/discharge capacity (X axis); calculating a target slope difference corresponding to a difference in slope value changed with respect to an inflection point of the graph during discharging in the plotted graph; comparing the target slope difference with a reference slope difference; and predicting if the cycle life of the target secondary battery is improved compared to the reference secondary battery from a result of the comparison.

A deterioration determination device for a storage battery system includes: a current sensor configured to, at a time of stopping charging or stopping discharging of storage batteries, measure circulation current generated among storage battery arrays in each of storage battery array blocks; a measurement control unit configured to collect a value of the circulation current measured by the current sensor; and a storage battery state determining unit configured to, from the collected value of the circulation current, determine whether or not there is deterioration of the storage batteries in the storage battery array blocks.

An electric quantity measuring apparatus, including a battery unit, a sampling unit, and a charging management integrated circuit. The sampling circuit is connected to the battery unit and configured to obtain a current signal of the battery unit. The charging management integrated circuit is arranged with a voltage detection pin and a current detection pin. The voltage detection pin is connected to the battery unit, and the current detection pin is connected to the sampling circuit. The charging management integrated circuit is configured to detect a voltage signal of the battery unit based on the voltage detection pin, detect the current signal of the battery unit based on the current sampling pin, and obtain voltage information, current information, and electric quantity information of the battery unit.

The present invention provides an apparatus for inspecting a welding state in a welded portion for an electronic or mechanical coupling in a lithium secondary battery, the apparatus including: a measuring unit configured to obtain data for deriving a resistance value of the welded portion by allowing a resistance measuring probe to contact the welded portion; and a controller configured to communicate with the measuring unit, determine the resistance value of the welded portion by receiving the data obtained from the measuring unit, and determine whether a weak welding was performed by comparing the determined resistance value with a threshold resistance value, in which the measuring unit is configured to allow the resistance measuring probe to contact one end and the other end of the welded portion.

A method for detecting a fault state of at least one battery cell of a battery having multiple battery cells. A cell voltage of a respective battery cell of the multiple battery cells is registered at a measurement time and a comparison value is determined as a function of at least one of the cell voltages and is compared to a provided first reference value. The fault state is detected as a function of a result of the comparison. A scatter value is determined, which represents a scatter of at least part of the cell voltages registered at the specific measurement time, and the fault state is determined as a function of the scatter value.

Provided is a battery grid pellet adhesion/cohesion strength tester that can accurately determine the push-out strength of a battery grid pellet by measuring the binding of the active material to the battery grid during the pasting and curing process. A programmable test stand and force gage are used with a selectable active material punching tool fixture and a set of selectable set of grid location pins. Active material from a lead-acid battery is forced out of the battery grid at a programmed feed rate with the force gage reporting precise force measurements for each battery grid pellets adhesion/cohesion strength. The inventive device can be utilized as a quality control measure following the battery pasting and curing process, which will ensure that consistent and uniform adhesion/cohesion has occurred during battery manufacture, thereby avoiding battery premature performance failure.

A system for assessment of a battery cell comprises a testing platform, a conveying system, one or more ultrasound sources, and one or more ultrasound sources, and a control unit. The conveying system can move the battery cell to the testing platform for assessment and from the testing platform after the assessment. The control unit can control the one or more ultrasound sources and the one or more ultrasound sensors to perform the assessment. The assessment can comprise determining a state of the battery cell based on the one or more signals generated by the one or more ultrasound sensors. The control unit can control the conveying system to direct the battery cell from the testing platform responsive to the assessment.

The present invention relates to a temperature condition diagnosis system and method for diagnosing a temperature abnormal state of a battery cell or module according to a relative temperature change of the battery cell using a difference in cell or module surface temperature compared to a battery management system (BMS) temperature sensor.

Disclosed is a battery in-situ test system. The battery in-situ test system comprises a charging and discharging module, an environment module and a mechanical loading module, wherein a to-be-tested battery is electrically connected with the charging and discharging module, the environment module comprises a temperature control box, the to-be-tested battery, an optical imaging module, an infrared thermal imaging module and an ultrasonic scanning imaging module are arranged in the temperature control box. The test environment is simulated through the environment module, and the optical imaging module is used for observing the microscopic deformation or damage of the surface of the to-be-tested battery; the infrared thermal imaging module is used for identifying the temperature distortion point of the to-be-tested battery and observing the thermal runaway process of the to-be-tested battery; and the ultrasonic scanning imaging module is used for monitoring the damage, lithium separation and charge state of the to-be-tested battery.

In the battery deterioration prediction system, a polarization calculation unit calculates negative and positive electrode polarizations from negative and positive electrode resistances, and an electrical current value flowing through the secondary battery. A CCP calculation unit calculates a negative electrode closed-circuit potential on the secondary battery negative electrode open circuit potential and the negative electrode polarization calculated by the polarization calculation unit, and calculates a positive electrode closed-circuit potential based on the secondary battery positive electrode open circuit potential and the positive electrode polarization calculated by the polarization calculation unit. A capacity prediction unit predicts the positive/negative electrode capacity, and positive/negative electrode SOC deviation capacity of a secondary battery based on at least one of the closed-circuit potential of the negative and positive electrodes calculated by the CCP calculation unit, and predicts the battery capacity based on the negative and positive electrode capacities, and the positive/negative electrode SOC capacity deviation.