Abstract: A rechargeable lithium battery includes a compound represented by Chemical Formula 1: In Chemical Formula 1, each of k, l, and m is independently an integer of 0 to 20, n is an integer of 1 to 7, and k, l and m are selected such that the compound of Chemical Formula 1 has an asymmetrical structure. The compound of Chemical Formula 1 may be included in the positive electrode, the negative electrode, or the electrolyte of the rechargeable lithium battery.

Abstract: A battery charging method, including obtaining a voltage capacity ratio for a reference charge C-rate and voltage capacity ratios for N (N an integer of 1 or more) charge C-rates greater than the reference charge C-rate, each of the voltage capacity ratios for the reference charge C-rate and the N charge C-rates being defined as a ratio of a voltage variance to a capacity variance depending on a change in state of charge (SOC) of a battery when the battery is charged at a corresponding one of the C-rates, comparing the voltage capacity ratio of the reference charge C-rate with each of the voltage capacity ratios of the N charge C-rates, and then setting a charge C-rate of the N charge C-rates so that a difference in voltage capacity ratio is minimized for each of SOC sections, and charging the battery with the charge C-rates corresponding to the SOC sections.

Abstract: A system for predicting the thickness of a battery is disclosed. In one aspect, the battery thickness predicting system includes a learning data input unit for receiving data on a previously manufactured battery. The thickness predicting system further includes an object data input unit for receiving data on a battery whose thickness is to be predicted. The system further comprises a mechanical learning unit connected to the learning data input unit to obtain a predicting function based on learning factors input to the learning data input unit and to provide weight values to the learning factors, respectively. The system further includes a thickness predicting unit connected to the object data input unit and the mechanical learning unit and using the weight values provided by the mechanical learning unit in order to predict the thickness of the battery whose thickness is to be predicted.

Abstract: Embodiments of the present invention provide an accelerated lifetime estimation device for predicting the lifetime of a secondary battery, and a method thereof. The accelerated lifetime estimation device can accurately estimate a normal lifetime of the secondary battery while reducing an evaluation time period of the secondary battery.

Abstract: A system for predicting a lifetime of a battery cell, including a learning data input unit, the learning data input unit being configured to receive at least one learning measurement factor and at least one learning factor, a target data input unit, the target data input unit being configured to receive at least one target factor, a machine learning unit, the machine learning unit being coupled to the learning data input unit, the machine learning unit assigning weights to respective ones of the learning factors input to the learning data input unit, and a lifetime prediction unit, the lifetime prediction unit being coupled to the target data input unit and the machine learning unit, the lifetime prediction unit using the weights assigned by the machine learning unit to predict one or more characteristics indicative of the lifetime of the target battery cell.

Abstract: A battery charging method, including obtaining a voltage capacity ratio for a reference charge C-rate and voltage capacity ratios for N (N an integer of 1 or more) charge C-rates greater than the reference charge C-rate, each of the voltage capacity ratios for the reference charge C-rate and the N charge C-rates being defined as a ratio of a voltage variance to a capacity variance depending on a change in state of charge (SOC) of a battery when the battery is charged at a corresponding one of the C-rates, comparing the voltage capacity ratio of the reference charge C-rate with each of the voltage capacity ratios of the N charge C-rates, and then setting a charge C-rate of the N charge C-rates so that a difference in voltage capacity ratio is minimized for each of SOC sections, and charging the battery with the charge C-rates corresponding to the SOC sections.

Abstract: A system for predicting the thickness of a battery is disclosed. In one aspect, the battery thickness predicting system includes a learning data input unit for receiving data on a previously manufactured battery. The thickness predicting system further includes an object data input unit for receiving data on a battery whose thickness is to be predicted. The system further comprises a mechanical learning unit connected to the learning data input unit to obtain a predicting function based on learning factors input to the learning data input unit and to provide weight values to the learning factors, respectively. The system further includes a thickness predicting unit connected to the object data input unit and the mechanical learning unit and using the weight values provided by the mechanical learning unit in order to predict the thickness of the battery whose thickness is to be predicted.

Abstract: A rechargeable lithium battery includes a compound represented by Chemical Formula 1: In Chemical Formula 1, each of k, l, and m is independently an integer of 0 to 20, n is an integer of 1 to 7, and k, l and m are selected such that the compound of Chemical Formula 1 has an asymmetrical structure. The compound of Chemical Formula 1 may be included in the positive electrode, the negative electrode, or the electrolyte of the rechargeable lithium battery.

Abstract: A system for predicting a lifetime of a battery cell, including a learning data input unit, the learning data input unit being configured to receive at least one learning measurement factor and at least one learning factor, a target data input unit, the target data input unit being configured to receive at least one target factor, a machine learning unit, the machine learning unit being coupled to the learning data input unit, the machine learning unit assigning weights to respective ones of the learning factors input to the learning data input unit, and a lifetime prediction unit, the lifetime prediction unit being coupled to the target data input unit and the machine learning unit, the lifetime prediction unit using the weights assigned by the machine learning unit to predict one or more characteristics indicative of the lifetime of the target battery cell.

Abstract: Embodiments of the present invention provide an accelerated lifetime estimation device for predicting the lifetime of a secondary battery, and a method thereof. The accelerated lifetime estimation device can accurately estimate a normal lifetime of the secondary battery while reducing an evaluation time period of the secondary battery.

Abstract: Disclosed is a method for puncturing a Low Density Parity Check (LDPC) code that is expressed by a factor graph having a check node and a variable node, connected to each other by an edge, and is decoded by a parity check matrix including a parity part having a single weight-3 column and a dual-diagonal matrix. The method includes selecting 1-step recoverable (1-SR) variable nodes with the highest quality including a variable node mapped to a weight-3 column, and setting a first puncturing priority group using the selected 1-SR variable nodes, selecting k-step recoverable (k-SR) variable nodes with the highest quality in the next step k taking into account the variable nodes selected in the current step, and setting a priority group for each individual step, puncturing an LDPC code mapped to a variable node belonging to a corresponding group according to priority of each group obtained in the preceding steps.

Abstract: A channel encoding apparatus and method are provided in which part of the parity bits are set to erroneous bits, and full parity bits are created by correcting the erroneous bits using a channel decoding apparatus of a receiver in a communication system. In the channel encoding apparatus, in order to generate a coded bit stream by adding a parity bit stream to a message bit stream, a partial parity generator generates a partial parity bit stream as a part of the parity bit stream using the message bit stream, an erasure generator generates a bit stream having an erroneous value as the remaining part of the parity bit stream, and a decoder calculates the value of the parity bit stream by correcting the bit stream having the erroneous value using a parity-check matrix that determines the parity bit stream, the message bit stream, and the partial parity bit stream.

Abstract: A method is provided for puncturing a low density parity check (LDPC) code decoded by a parity check matrix that is expressed by a factor graph including a check node and a bit node, being connected to each other at an edge, and includes a parity part having a dual diagonal matrix with a single 3-weight column and the remaining columns being 2-weight columns. The method includes generating a puncturing pattern such that bits of the LDPC code are punctured in an order of a bit mapped to a column with a higher weight from among the columns constituting the parity part; and puncturing the LDPC code according to the generated puncturing pattern.

Abstract: A method for puncturing a low density parity check (LDPC) code that is decoded through a parity check matrix expressed by a factor graph including check nodes and bit nodes connected to the check nodes through edges. The method includes classifying the bit nodes mapped to a parity part of a codeword into hierarchical groups according to their decoding facilities when the bit nodes are punctured, determining puncturing order of the groups, and sequentially performing puncturing on the bit nodes from a bit node belonging to a corresponding group according to the puncturing order of the groups to acquire a codeword with a desired coding rate.

Abstract: A system, an apparatus and a method for transmitting/receiving data coded by a low density parity check matrix code are provided. The apparatus for transmitting data coded by a low density parity check code includes: a low density parity check encoder for encoding input data based on the low density parity check code; and a bit puncturer for puncturing columns in an order of columns which least degrade a performance caused by puncturing in the low density check code according to a code rate of an output data. Accordingly, the low density parity check code having superior performance can be implemented to the next generation mobile communication system supporting various code rates.

Abstract: A channel encoding apparatus and method are provided in which part of the parity bits are set to erroneous bits, and full parity bits are created by correcting the erroneous bits using a channel decoding apparatus of a receiver in a communication system. In the channel encoding apparatus, in order to generate a coded bit stream by adding a parity bit stream to a message bit stream, a partial parity generator generates a partial parity bit stream as a part of the parity bit stream using the message bit stream, an erasure generator generates a bit stream having an erroneous value as the remaining part of the parity bit stream, and a decoder calculates the value of the parity bit stream by correcting the bit stream having the erroneous value using a parity-check matrix that determines the parity bit stream, the message bit stream, and the partial parity bit stream.

Abstract: A channel encoding apparatus and method are provided in which part of the parity bits are set to erroneous bits, and full parity bits are created by correcting the erroneous bits using a channel decoding apparatus of a receiver in a communication system. In the channel encoding apparatus, in order to generate a coded bit stream by adding a parity bit stream to a message bit stream, a partial parity generator generates a partial parity bit stream as a part of the parity bit stream using the message bit stream, an erasure generator generates a bit stream having an erroneous value as the remaining part of the parity bit stream, and a decoder calculates the value of the parity bit stream by correcting the bit stream having the erroneous value using a parity-check matrix that determines the parity bit stream, the message bit stream, and the partial parity bit stream.

Abstract: Disclosed are an apparatus and a method for reducing the coding complexity in an LDPC code used in a digital communication system. In the method, parameters required for coding are determined according to a coding rate and a code length, a seed matrix is generated according to values of the parameters, a plurality of cell matrices are generated according to the values of the parameters, a parity check matrix is generated using the seed matrix and the cell matrix, and information bits are coded from the parity check matrix. The method can be realized by a small memory and a simple shift register and can perform coding even without obtaining a generation matrix, thereby remarkably reducing the complexity of a system.

Abstract: Disclosed is a space-time trellis code (STTC) encoding method for performing space-time coding of a serially-concatenated space-time code (SC-STC) in an encoder having an outer encoder for performing channel coding and an inner encoder for performing the space-time coding, in a mobile communication system including one or more transmission antennas, by transmitting via a first transmission antenna a symbol generated by encoding a first input signal output from the outer encoder by a first recursive convolutional encoder and a symbol generated by encoding a second input signal output from the outer encoder by a second recursive convolutional encoder; and transmitting via a second transmission antenna the first and second input signals.

Abstract: Disclosed is a method for puncturing a Low Density Parity Check (LDPC) code that is expressed by a factor graph having a check node and a variable node, connected to each other by an edge, and is decoded by a parity check matrix including a parity part having a single weight-3 column and a dual-diagonal matrix. The method includes selecting 1-step recoverable (1-SR) variable nodes with the highest quality including a variable node mapped to a weight-3 column, and setting a first puncturing priority group using the selected 1-SR variable nodes, selecting k-step recoverable (k-SR) variable nodes with the highest quality in the next step k taking into account the variable nodes selected in the current step, and setting a priority group for each individual step, puncturing an LDPC code mapped to a variable node belonging to a corresponding group according to priority of each group obtained in the preceding steps.