169 results about "Faulty cell" patented technology

Various systems and methods for determining potential battery failure are disclosed. For example, some embodiments of the present invention provide battery systems that include a battery, an embedded processor and a computer readable medium. The computer readable medium includes instructions executable by the embedded processor to measure at least one characteristic of the battery; to calculate a rate of change of internal impedance of the battery based at least in part on the at least one characteristic of the battery; and to determine a potential failure condition based on the rate of change of internal impedance of the battery.

The present systems include a memory module containing a plurality of RAM chips, typically DRAM, and a memory buffer arranged to buffer data between the DRAM and a host controller. The memory buffer includes an error detection and correction circuit arranged to ensure the integrity of the stored data words. One way in which this may be accomplished is by computing parity bits for each data word and storing them in parallel with each data word. The error detection and correction circuit can be arranged to detect and correct single errors, or multi-errors if the host controller includes its own error detection and correction circuit. Alternatively, the locations of faulty storage cells can be determined and stored in an address match table, which is then used to control multiplexers that direct data around the faulty cells, to redundant DRAM chips in one embodiment or to embedded SRAM in another.

The invention discloses a method and a device for monitoring and maintaining faults of a storage battery. The method comprises the following steps: detecting the capacity and charging and discharging and temperature parameters of a single storage battery; judging the fault type of the single storage battery according to the parameters; and alarming and processing according to a fault result. The method is designed from the angle of on-line maintenance of the storage battery, the influence of the charging mode of a switch power supply on the performances of the storage battery and the relationship between the charging parameter of the storage battery and the capacity of the battery are figured out, a technology for on-line maintaining the possibly legged-behind or already legged-behind batteries is provided, and a method for adjusting the charging parameter of the switch power supply at different phases in the network operation process of the storage battery is introduced in detail, sothat the performance of a battery pack is improved and the service life of the storage battery is prolonged, and the provided method and device are realized by a more-mature technical scheme with a low cost.

An embodiment of the invention discloses a method and a device for detecting micro short circuit of a battery. The method comprises the steps of: acquiring a target initial battery parameter value ofa target battery at an initial moment, and determining a reference initial battery parameter value of a virtual reference battery at the initial moment, wherein a response of the virtual reference battery is the same as a response of the target battery under the same excitation condition; acquiring a target battery parameter value of the target battery at a specified moment; determining a reference battery parameter value of the virtual reference battery at the specified moment according to the target battery parameter value and the reference initial battery parameters value; and calculating adifference value between the target battery parameter value and the reference battery parameter value, and determining whether short circuit occurs in the target battery according to the difference value. The method and the device disclosed by the invention have the advantages of improving precision of battery micro short circuit detection, enhancing the applicability of battery micro short circuit detection, and reducing the misjudgment rate of battery failures.

A circuit and method for detecting faulty cells in a semiconductor memory device and a method therefor are provided. The circuit includes a memory cell array which includes a plurality of memory blocks, each of which includes a plurality of memory cells addressed corresponding to predetermined memory addresses and a plurality of faulty cell detectors corresponding to the plurality of memory blocks. The plurality of faulty cell detectors compare currents generated in the memory blocks to a predetermined reference current and detect whether addressed memory cells are faulty. It is possible to check whether the addressed memory cells are faulty by detecting the currents which flow through the plurality of memory blocks by the memory addresses. Therefore, it is possible to correctly detect the positions of faulty memory cells. Also, it is possible to reduce the number of pins since, data indicating whether the memory cells are faulty is output through data input and output lines in response to a test selection signal. Also, it is possible to prevent the operation speed of a chip from decreasing due to the current detectors during a normal operation since the current detectors corresponding to the memory blocks are bypassed in response to the test selection signal during the normal operation.

The invention discloses an energy storage power station battery compartment battery fault pre-judgment and positioning method, which comprises the steps of conducting single battery health degree analysis, battery performance change trend prediction and battery fault accurate pre-judgment and positioning, and obtaining battery operation parameter upper and lower limit thresholds and a battery health state in a current state by analyzing the single battery health degree; and predicting a battery performance change trend in a future period of time based on historical data in the past period of time, and pre-judging and positioning possible faults in the future in combination with upper and lower limit thresholds. Meanwhile, if it is detected that a certain or some properties of a single battery, a battery pack or a battery cluster may change suddenly in an extremely short time, possible faults in a short time can be predicted through a battery fault accurate pre-judgment and positioning function, and corresponding faults are positioned and identified through a fault expert database. Through comprehensive implementation of the method, the operation and maintenance technical support level and the system safety and stability level of the energy storage power station can be obviously improved.

A memory region can durably self-identify as being faulty when read. Information that would have been assigned to the faulty memory region can be assigned to another of that sized region in memory using a replacement encoding technique. For phase change memory, at least two fault states can be provided for durably self-identifying a faulty memory region; one state at a highest resistance range and the other state at a lowest resistance range. Replacement cells can be used to shift or assign data when a self-identifying memory fault is present. A memory controller and memory module, alone or in combination may manage replacement cell use and facilitate driving a newly discovered faulty cell to a fault state if the faulty cell is not already at the fault state.

The invention provides a battery fault detection method and device, and the method comprises the steps: obtaining the impedance spectrum data of each battery in a battery pack, and enabling the impedance spectrum data to comprise the impedance of the battery at a plurality of frequencies; dRT analysis is carried out on the impedance spectrum data of each battery, parameter information of each battery is determined, and the parameter information comprises at least one relaxation time and resistance corresponding to each relaxation time; and when the deviation condition of the first parameter information of the first battery and the second parameter information of the second battery in the plurality of batteries meets a preset fault condition, determining that at least one battery in the battery pack has a fault. By comparing the parameter information of the plurality of batteries, or comparing the current parameter information of the batteries with the historical parameter information, whether the batteries in the battery pack break down or not is determined according to the deviation condition of the parameter information, and the early fault of the batteries can be accurately identified. Furthermore, the fault type and the fault severity of the battery can be judged.

The invention discloses a power battery pack fault diagnosis method based on an improved Grubbs criterion and a battery electrothermal coupling model. The power battery pack fault diagnosis method comprises the following steps: collecting voltage signals and surface temperature signals of each single battery in a power battery pack; screening out abnormal data by utilizing an improved Grubbs criterion; determining the type and model of a single battery in the power battery pack, and building a battery electro-thermal coupling model; performing battery fault simulation based on the battery electro-thermal coupling model, and collecting output of the battery electro-thermal coupling model under the simulated fault condition; and comparing the screened abnormal data with the data acquired under the simulation condition, and determining the fault type of the battery pack. According to the method, the dynamic characteristics of the power battery are described by adopting the electro-thermalcoupling model of the battery, the electrical characteristics and the thermal characteristics of the battery are comprehensively considered, the battery fault situation simulated on the basis of themodel better conforms to the actual situation of battery faults, and the accuracy of a fault diagnosis conclusion made by combining the model is higher.

In order to achieve a redundant repair for a memory using a BIST, a semiconductor integrated circuit which can suppress an increase in circuit area for redundant repair and circuit area for scan test, and an test method thereof are provided. It comprises: a memory 104, which has a redundant line for repair in a Column direction; a test pattern generating section 101; a comparing section 102, which judges whether a faulty cell exists in the memory 104 or not, a first data storage section 105, which during an test of the memory 104, retrieves a signal inputted into the memory 104 from the test pattern generating section 101 and a pass/fail judgment signal for every bit from the comparing section 102, and during an test of a peripheral logic of the memory, is used for observing an input signal into the memory 104; a second data storage section 106, which shows a state of the presence or absence of a failure; and a repair judging section 107, wherein data of the first data storage section 105 is held by the second data storage section 106.

A repair information providing device in an integrated circuit including a plurality of memory blocks includes a plurality of faulty cell address registers connected to the memory blocks, respectively, a repair information storage block configured to store repair information including an address of a faulty cell and a memory index indicating a memory block having the faulty cell, a repair information control block configured to read the repair information from the repair information storage block, transfer the address of the faulty cell included in the repair information to the respective faulty cell address registers, and generate a memory block selection signal based on the memory index included in the repair information, and a clock gating block configured to receive a clock signal, and selectively transfer the clock signal to one of the faulty cell address registers connected to the memory block having the faulty cell in response to receiving the memory block selection signal.

The invention provides a battery internal resistance prediction and fault early warning method based on LSTM. The method comprises the following steps: S1, classifying battery internal resistance change reasons; S2, selecting battery internal resistance influence factor parameters of n batteries as input of a battery internal resistance prediction model based on a long-short term memory method neural network; S3, constructing a battery internal resistance prediction model based on a long-short term memory method neural network; S4, obtaining current battery internal resistance data and a battery internal resistance change rate according to the battery internal resistance influence factor parameters of the current battery; S5, setting a battery internal resistance threshold value, a batteryinternal resistance change rate threshold value and a charging and discharging frequency interval; and S6, generating battery fault early warning information according to the information of the previous steps. The method has the advantages that the battery internal resistance is predicted through the battery internal resistance prediction model based on the long-short term memory method neural network, the battery fault can be positioned more clearly and quickly, the tedious process of blind battery inspection by maintenance personnel is simplified, and a foundation is laid for battery faultearly warning.

The present invention may provide a circuit generally having a plurality of addressable memory cells and an access control circuit. The access control circuit may be configured to intercept an access to a faulty cell of the plurality of addressable memory cells. The access control circuit may be further configured to redirect the access to a spare cell of the plurality of addressable memory cells.

A faulty cell detection device and a faulty cell detection method are provided for detecting a faulty cell of a battery pack using a current sensor. The device may include a current sensor including a first current sensor configured to measure a current of a battery pack including the battery module, and a second current sensor configured to measure a current of a battery cell among battery cells in the battery module. The device may also include a faulty cell detector configured to detect occurrence of the faulty cell based on the measured current of the battery pack and the measured current of the battery cell.

The invention discloses a storage battery fault diagnosis method and device based on fault injection deep learning, and the method comprises the steps: enabling each storage battery in a to-be-detected storage battery pack to be connected with a storage battery fault diagnosis device, then, adopting the storage battery fault diagnosis device to detect battery performance parameters of each storage battery in the to-be-detected storage battery pack in the charging and discharging process, and finally, inputting the battery performance parameters of each storage battery in the charging and discharging process into the deep learning model based on fault injection; and determining whether each storage battery has a fault or not and the fault type of the storage battery with the fault, wherein the deep learning model based on fault injection is generated after deep learning is carried out on the training storage battery pack. According to the storage battery fault diagnosis method and device based on fault injection deep learning disclosed by the embodiment of the invention, the diagnosis efficiency of the storage battery of the power distribution network can be improved.