795 results about "Capacity value" patented technology

A data distribution technique is configured to provide capacity leveling in a striped file system. When a new node is added to a striped volume set, the striping table is evolved to accommodate the newly added node. Each node of a cluster is illustratively associated with a capacity value that takes into account, e.g., processor speed, number of processors, hardware configuration and / or software available for the node. During the evolution process of the striping table, the technique apportions stripes of the SVS among the nodes in a manner so that they are optimally assigned to the nodes in accordance with each node's capacity value. By utilizing the evolutionary striping table that incorporates capacity values, heterogeneous nodes may be utilized to their maximum capacity within a striped volume set, thereby reducing underutilized processing resources.

The invention discloses a method and a device for detecting a state of health (SOH) of a battery. The method includes the steps: an absorption capacity value or a discharge capacity value in any capacity interval in the process of normal charging or discharging of the battery is monitored; a current battery actual capacity value in the capacity interval is acquired through computation by utilizing the capacity value; and the specific value of the SOH of the battery is computed by utilizing the current battery actual capacity value and a battery rated capacity value. The device can detect the SOH of the battery by utilizing the method. According to the method and the device for detecting the SOH of the battery, the absorption capacity value or the discharge capacity value in a characteristic capacity interval in the process of normal charging or discharging of the battery is monitored to detect the battery current actual capacity value and the specific value of the SOH so as to detect the SOH of the battery, average and effectiveness of the battery actual capacity values and the specific value of the SOH are judged for a plurality of times to improve detection accuracy, and therefore detection of the SOH of the battery is achieved effectively.

Systems and methods to determine cell capacities of a vehicle battery pack. Cell capacities may be determined using state of charge (SOC) estimates for the cells and a charge count for the battery pack. The SOC estimates may be determined when the SOC of the battery pack is below a lower threshold and above an upper threshold. Error values may also be generated for the cell capacity values.

A downlink channel scheduling method and apparatus for obtaining optimal system performance in a downlink of a wireless communication system using an orthogonal frequency division multiplexing (OFDM) scheme are provided. Terminals compute a plurality of channel capacities and search for a channel with a maximum capacity. The terminals send, to a base station (BS), feedback information including a channel number and a capacity value of the channel with the maximum capacity. The BS performs a first channel allocation process for allocating a channel with an optimal capacity to each terminal on the basis of the feedback information. The BS performs a second channel allocation process for allocating an adjacent channel to a corresponding terminal using the window bit when the terminal is not allocated a channel in the first channel allocation process.

The invention relates to the technical field of lithium battery parameter determination methods, in particular to a lithium battery capacity rapid estimation method. The lithium battery capacity rapid estimation method comprises the following steps: (1) taking the-number-set training sample batteries to have an internal resistance test by using a composite pulse current method in order to obtain internal resistance values of the training sample batteries, (2) testing capacity values of the training sample batteries by using a constant current constant voltage test method, (3) taking time-set various current internal resistance of different sampling time of the training sample batteries as input and taking the capacity values as output to establish an internal resistance-capacity neural network model, (4) and testing internal resistance of predicting sample batteries and evaluating the capacity values by using the internal resistance-capacity neural network model established by the training sample batteries. By using the non-linear relationship between the internal resistance and the capacity to establish the internal resistance-capacity neural network model, the lithium battery capacity rapid estimation method can rapidly estimate the capacity of the batteries, eliminate the batteries which have no use value, reduce power loss and equipment loss required in a traditional capacity test, and greatly improve economy.

A data distribution technique is configured to provide capacity leveling in a striped file system. When a new node is added to a striped volume set, the striping table is evolved to accommodate the newly added node. Each node of a cluster is illustratively associated with a capacity value that takes into account, e.g., processor speed, number of processors, hardware configuration and / or software available for the node. During the evolution process of the striping table, the technique apportions stripes of the SVS among the nodes in a manner so that they are optimally assigned to the nodes in accordance with each node's capacity value. By utilizing the evolutionary striping table that incorporates capacity values, heterogeneous nodes may be utilized to their maximum capacity within a striped volume set, thereby reducing underutilized processing resources.

An information handling system and method provide for: electrically powering, with a primary power source and an independent power source, a dynamic random access memory (DRAM) module having an amount of memory space that is addressed by a host processor of an information handling system; measuring an energy capacity value of the independent energy storage device; determining a persistent value corresponding to a fraction of the memory space of the DRAM module that can be protected based at least in part on the measured energy capacity value of the independent energy storage device; reporting the persistent value to the host processor; and communicating by the host processor to the DRAM module a dynamic assignment of persistent and non-persistent memory allocations in accordance to the fraction of the memory space of the DRAM module that can be protected in an event of loss of the primary power source.

The method of charging a lithium ion secondary battery uses a lithium ion secondary battery comprising a positive electrode including a mixed metal oxide containing at least Li, Mn, and Ni as metal components as a positive electrode active material, a negative electrode, and a nonaqueous electrolytic solution containing a lithium salt; and includes a constant current charging step of carrying out constant current charging with a set charging current value I1 corresponding to a set value nC satisfying the condition represented by the expression of 2C≦nC≦60C, where C is a rated capacity value of the lithium ion secondary battery, and n is a number of 2 to 60.

An electric vehicle charging system includes logic collocated with an electric service panel to monitor a total present electric current consumption value for all electric consumers below a point in the service panel; a first input to receive the present electric current consumption value from the logic collocated with the service panel, and to compare the present electric current consumption value with a maximum current capacity value for the service panel; a second input to receive electric current from the service panel; an output to supply electric charging power to at least one electric vehicle; and logic to set an electric charging current drawn from the service panel through the second input and provided to the electric vehicle charging output to a value less than a difference between the maximum current capacity for the service panel and a sum of the present electric current consumption value and the current consumption value of a largest expected electric consumer.

The invention provides a method and a system for displaying capacity remaining time of a Bluetooth device based on a Bluetooth terminal. The method includes the steps: a, computing a remaining capacity value and periodically transmitting the remaining capacity value to the Bluetooth terminal by the aid of the Bluetooth device; b, computing and evaluating the service time of the remaining capacity of the Bluetooth device by summing up the remaining capacity value received within a period of time through the Bluetooth terminal; and c, displaying the service time of the remaining capacity on a screen by the aid of the Bluetooth terminal. Power consumption of the Bluetooth device in unit time can be evaluated by summing up capacity information acquired within a period of time through computing power of the Bluetooth terminal, the service time of the remaining capacity of the Bluetooth device is forecast based on the power consumption, a user using the Bluetooth device can know the remaining service time of the Bluetooth device by means of real-time display of the Bluetooth terminal, the user conveniently selects proper time for replacing a battery according to the remaining capacity, and use of the Bluetooth device is greatly facilitated for the user.

The invention discloses a cool-heat-electricity cogeneration type microgrid optimal configuration method. The method includes the steps of system level optimization and equipment level optimization. Safe and stable operation of electricity, heat and cool generation systems of a system is used as the constraint condition of system level optimization, load data, electrovalence policies and fuel cost in a microgrid region to be planned are used as input, energy supply equipment categories are selected on the basis of load data analysis, the lowest full life circle cost of a microgrid is used as an objective function, the objective function is solved by the adoption of a mixed integer programming approach, and then equipment capacity in the microgrid is acquired. Equipment level optimization is based on a cool-heat-electricity cogeneration equipment scheme library, the capacity value ranges of equipment are set on the basis of the result of system level optimization, solution is calculated in a weighted mode, and then the optimal configuration scheme of the system is obtained. According to the method, capacity of the generation systems can be balanced, utilization efficiency of primary energy and the utilization rate of the equipment are improved, unnecessary investment is avoided, meanwhile, overall economy of the system is improved, and annual operation cost is reduced.

The invention relates to an actual capacity estimation method of a lithium ion battery for a pure electric automobile, comprising the following steps of: a. acquiring a variable value of the residual capacity of the battery through an automotive battery management system during the online charging process; b. before battery charging and after battery operating, acquiring a first state charge state SOC1 of the battery by charging a part of electric quantity through the automotive battery management system; c. after the charging is finished, acquiring a second state charge state SOC2 of the battery through the automotive battery management system; and d. acquiring the ratio between the variable value of the residual capacity of the battery in the step a and the difference value of two charge states of the battery, namely, acquiring the actual capacity value of the battery. Compared with the prior art, the invention has the following advantages that: (1) the current controllability and the current stability during the charging are better; (2) the data processing time is plenty; and (3) the advantage (1) and the advantage (2) can be finished during the single charging.

The present invention provides a method for estimating and correcting lithium manganate series battery pack SOC value. The SOC calculation method of a single cell and a battery pack is redefined, four different suitable opportunities are selected, different algorithms are used, a single battery remaining capacity affected by an ampere-hour integral accumulation error and a single battery maximum available capacity affected by temperature change and aging are corrected respectively, thus the maximum available capacity and the remaining capacity of a battery pack are corrected, and the correction of an SOC single value at a particular time point is realized. In addition, for a battery pack SOC real-time calculation formula, the invention provides a more accurate initial value and a battery pack maximum available capacity value, and thus the battery pack SOC calculated in an online way is more accurate.

A tool for assisting the operation of a network of interconnected physical equipment includes a physical infrastructure manager associated with a first data structure in which the equipment items are registered under a resource identifier in relation to a first sequence of dated values of global utilizable functional capacity, and a virtual infrastructure manager associated with a second data structure in which virtual units are registered under a unit identifier in relation to a second sequence of dated values of global utilizable functional capacity, and with a third data structure in which a virtual unit identifier is associated with a group of resource identifiers and hence with the corresponding sequences of dated capacity values. The virtual infrastructure manager dynamically reconfigures a virtual infrastructure object in accordance with the rights and capacities requested by a user.

A method for preestimating battery residual capacity includes the following steps that: (a) battery initial capacity value is determined; (b) the second voltage value of the battery is measured; (c) according to the second voltage as well as the maximum possible current value and the minimum possible current value of the battery and battery internal resistance value provided by a power source management program, the maximum possible voltage value and the minimum possible voltage value of the battery are calculated; (a) according to the maximum possible voltage value and the minimum possible voltage value of the battery as well as the relation table of voltage and residual capacity, the maximum possible residual capacity value and the minimum possible residual capacity value of the battery are calculated; (e) the maximum possible current value and the minimum possible current value of the battery are compared; (f) according to the comparative result obtained by the step (e) as well as the maximum possible residual capacity value and the minimum possible residual capacity value of the battery, the residual capacity of the battery is calculated.

The invention discloses a method and a system of electric automobile battery test. The method comprises a test of ganged electric automobile batteries that a first preset constant current is used for charging the ganged electric batteries until voltage of a certain battery cell is built up to a max charge voltage value, preset constant voltage is used for charging the ganged electric automobile batteries until charging current is reduced to a preset cut-off current value or the voltage of a certain battery cell reaches a protection voltage value, a second preset current is used for discharging the ganged electric batteries until the voltage of a certain battery cell is reduced to a max discharge voltage value and an actual capacity value is obtained after the discharge capacity of the ganged batteries is calculated according to consuming time of discharge. The steps are circulated until the actual capacity value is less than a preset capacity value continuously for a plurality of times, or the steps are circulated until cycle-index reaches a preset number. Omni-directional test and parameter learning of a power battery is achieved. Reference is provided for follow-up application of the power battery.

The invention provides a graphene oxide / metal organic framework composite material. The composite material is prepared from graphene oxide, cobalt acetate tetrahydrate and 2, 5-dihydroxyterephthalic acid which are mixed based on a certain proportion through a solvothermal method. The preparation method comprises the steps of (1) dispersing graphene oxide into a solvent to obtain a graphene oxide solution; (2) adding the cobalt acetate tetrahydrate and 2, 5-dihydroxyterephthalic acid into deionized water to form a mixed solution; (3) enabling the obtained mixed solution to be mixed with the obtained graphene oxide solution, and then putting the mixture into a reaction kettle; and (4) performing constant-temperature heating in a drying oven, taking out the product, washing and drying. According to the application of the composite material as a negative electrode material of a lithium ion battery, the specific capacity value can reach 520-600mAh g<-1> at current density of 100mAg<-1> in an electrochemical performance test. The composite material is high in cycling stability, long in charging-discharging service life, and has wide application prospect in the field of the lithium ion battery.

The invention discloses a method and system for judging storage battery capacity and health, including determining capacity based on conductance test value of the battery. Conductance test adopts special instrument, conductance of each monomer battery is tested, the actual conductance and capacity of massive batteries in different types and different residual capacity are tested, correspondence distribution therein is obtained by statistics, according correspondence astringency is found, so as to obtain the correspondence of conductance and capacity of the battery of the type, and software is required to calculate astringency and distribution relation on massive detection data, and applicability of the rule thereof is improved along with increase of data to be tested, thus improving accuracy of judging. Besides, the judging only can determine the range of the capacity of the monomer battery instead of correcting to concrete capacity value. The invention has the application value in actual maintenance that time and work load for judging the range of capacity of battery are greatly reduced, the batter is not required to be charged or discharged, and no threat is produced to the operation safety of battery in the existing network.

Systems and methods to determine cell capacities of a vehicle battery pack. Cell capacities may be determined using state of charge (SOC) estimates for the cells and a charge count for the battery pack. The SOC estimates may be determined when the SOC of the battery pack is below a lower threshold and above an upper threshold. Error values may also be generated for the cell capacity values.

The invention provides a lithium-ion battery pack health state assessment method. A lithium battery pack with a battery management system is charged on a charging-discharging motor, computing of the health state of a lithium-ion battery pack based on the process from charging starting to full-charging stopping is carried out, SOH is computed according to the following formula, SOH = CCal / CExp * 100%, CCal is the practical current integration capacity value of the lithium-ion battery pack from charging starting to full-charging stopping, I is charging currents, t0 is charging starting time, tn is charging stopping time, CExp is the capacity value which the lithium-ion battery pack should have from charging starting to full-charging stopping, CExp = (SOCChgF - SOCChg0) * CR, CR is the nominal capacity value of the lithium-ion battery pack, SOCChgF is the SOC value during full-charging stopping, SOCChg0 is the SOC value of the charging starting moment, the judging criterion of full-charging stopping is that lithium battery pack charging voltages reach Vreated * N, and I <= 0.1 C, wherein Vreated is the full-charging voltages of batteries in the lithium battery pack, N is the number of the batteries connected in series in the lithium battery pack, and if CCal is larger than CExp, the value is abandoned and is not used. Accordingly, the accuracy and the authenticity of SOH estimation are improved.

A downlink channel scheduling method and apparatus for obtaining optimal system performance in a downlink of a wireless communication system using an orthogonal frequency division multiplexing (OFDM) scheme are provided. Terminals compute a plurality of channel capacities and search for a channel with a maximum capacity. The terminals send, to a base station (BS), feedback information including a channel number and a capacity value of the channel with the maximum capacity. The BS performs a first channel allocation process for allocating a channel with an optimal capacity to each terminal on the basis of the feedback information. The BS performs a second channel allocation process for allocating an adjacent channel to a corresponding terminal using the window bit when the terminal is not allocated a channel in the first channel allocation process.

A method for determining and varying the capacity, track per inch and bit per inch values of a hard disk drive. The method includes determining an optimal track per inch value for each head of the drive. The method then determines whether each head does not exceed a threshold BER value. If one or more heads do not exceed the threshold BER value then the BPI (data rates) of the non-performing heads are decreased until an acceptable BER is achieved. The BPI of performing heads may be increased to insure that the capacity of the disk drive still meets a target value. Likewise, if all of the heads are above the threshold value, the BPI of one or more of the performing heads may be decreased to improve the BER of the heads. The reduction in BPI is limited so that the drive always meets the target capacity value. The BPI and TPI values are stored in memory for use during the operation of the drive.

A system and method for analyzing the profitability of a company's products and services and then maximizing that profit is provided. A contribution margin per unit 138 is multiplied times the forecast in units per year 104. The product of this contribution margin per unit 138 times the forecast in units per year 104 is divided by the product of the total capacity hours per standard run 120 quantity and the planned production runs per year 106. The result is the contribution margin per capacity hour 150 which is also defined here as the capacity value analysis 150. The capacity value analysis 150 provides for determining product rationalization, and profitable growth determination, as well as a metric for profit optimization initiatives such as eliminating constraints, customer perceived value, design for manufacturability, reduced production frequency, and reduced setup time.

The invention discloses a remote discharging control system, a monitoring unit device and a detecting method of a storage battery pack. The detecting method comprises the steps of: in the discharging process of the storage battery pack, collecting a monomer voltage, a total voltage, a discharging current and a marked temperature of the storage battery pack so as to draw a discharging curve; calculating a capacity discharged by the storage battery pack under the current marked temperature in real time, and converting the capacity value into the capacity value under a reference temperature; comparing the discharging curve with a historic discharging curve drawn under the same load so as to update an aging ratio of the storage battery pack in real time; and calculating an actual total capacity of the storage battery pack at the beginning of the test when the discharging is finished, and obtaining the needed detecting data according to the actual total capacity, the discharging curve and the discharged capacity information. By adopting the method, the remote discharging test can be performed; the testing data of the storage battery pack can be rapidly inquired; the aging problem of the storage battery pack is solved; and the estimation accuracy is improved.

The invention discloses a device for processing an application installation package, which comprises an acquisition module, an optimization module, and a generation module, wherein the acquisition module is used for acquiring a source code, a library file and a resource file of a to-be-processed application installation package; the optimization module is used for optimizing the acquired source code, the library file and the resource file respectively to reduce capacity values of the source code, the library file and the resource file; and the generation module is used for generating the application installation package according to the optimized source code, the library file and the resource file, and the capacity value of the generated application installation package is smaller than that of the to-be-processed application installation package. The invention also discloses a method of processing the application installation package. Thus, the capacity value of the application installation package is reduced, and the cost of the network resources is reduced.

A data unit sender and method of controlling a data unit sender are presented, in which a time-out monitoring procedure implements a first, longer time-out period (SRTO), and a second, shorter time-out period (QRTO), where a retransmission is executed after the shorter time-out period if the available transmission capacity value for unsent data is greater or equal to the size of a designated data unit that is to be retransmitted as a result of said time-out monitoring procedure.

The invention provides a refrigerator refrigerating time control method and apparatus based on a food. The refrigerator refrigerating time control method based on the food comprises: detecting a types, a weight and an initial temperature of the food put into a refrigerator storage compartment; determining a specific heat capacity value corresponding to the type of the put food; according to the specific heat capacity value and the weight of the put food, calculating a value of heat required for cooling the food from the initial temperature to a temperature of the storage compartment; moreover, according to the value of heat and compressor power of a refrigerator, calculating refrigerating time of the refrigerator, and enabling the refrigerator to start to refrigerate and last the refrigerating time. According to the scheme adopted by the invention, the refrigerating time of the refrigerator is accurately controlled according to the food put into the refrigerator, a storage effect of the food is effectively improved, energy consumption of the refrigerator is reduced, and use experience of a user is improved.