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    • 88. 发明公开
    • NON-AQUEOUS ELECTROLYTE LITHIUM SECONDARY BATTERY
    • 非水电解液锂二次电池
    • EP2206189A1
    • 2010-07-14
    • EP08832648.3
    • 2008-09-18
    • LG Chem, Ltd.
    • JEON, Jong-HoCHO, Jeong-JuLEE, Ho-Chun
    • H01M10/40
    • H01M10/0569H01M10/0567H01M10/4235H01M2300/0082H01M2300/0091
    • A lithium secondary battery has a cathode made of carbon material capable of occluding or emitting a lithium ion, a cathode made of lithium-contained oxide, and a non-aqueous electrolyte. The non-aqueous electrolyte includes a lithium salt containing LiPF6 and LiBF4; and a non-linear carbonate-based mixed organic solvent in which (a) a cyclic carbonate having ethylene carbonate or a mixture of ethylene carbonate and propylene carbonate and (b) a propionate-based ester such as ethyl propionate are mixed at a volume ratio (a:b) in the range from about 10:90 to about 70:30. This lithium secondary battery ensures excellent high-rate charging/discharging characteristics and improved life cycle and low-temperature discharging characteristics since it includes a predetermined mixed organic solvent not including a linear carbonate. Also, since gas generation is restrained at a high temperature, a battery set may be mounted in a more improved way.
    • 锂二次电池具有由能够吸留或放出锂离子的碳材料制成的正极,由含锂氧化物制成的正极和非水电解质。 非水电解质包含含有LiPF 6和LiBF 4的锂盐; (a)具有碳酸亚乙酯或碳酸亚乙酯和碳酸亚丙酯的混合物的环状碳酸酯和(b)丙酸乙酯等丙酸酯类酯以体积比混合的非线性碳酸酯系混合有机溶剂 (a:b)在约10:90至约70:30的范围内。 该锂二次电池由于含有不包含直链状碳酸酯的规定的混合有机溶剂,所以能够确保高速率充放电特性,提高寿命周期和低温放电特性。 而且,由于气体产生在高温下受到抑制,电池组可以以更加改进的方式安装。
    • 89. 发明公开
    • SYSTEM AND METHOD FOR ESTIMATING LONG TERM CHARACTERISTICS OF BATTERY
    • 用于估计电池长期特性的系统和方法
    • EP2188642A2
    • 2010-05-26
    • EP08793395.8
    • 2008-08-21
    • LG Chem, Ltd.
    • SONG, Hyun-KonCHO, Jeong-JuCHOO, Yeon-UkSON, Mi-YoungLEE, Ho-Chun
    • G01R31/36
    • G01R31/3651G06N7/00
    • A system for estimating long term characteristics of a battery includes a learning data input unit for receiving initial characteristic learning data and long term characteristic learning data of a battery to be a learning object; a measurement data input unit for receiving initial characteristic measurement data of a battery to be an object for estimation of long term characteristics; and an artificial neural network operation unit for receiving the initial characteristic learning data and the long term characteristic learning data from the learning data input unit to allow learning of an artificial neural network, receiving the initial characteristic measurement data from the measurement data input unit and applying the learned artificial neural network thereto, and thus calculating long term characteristic estimation data from the initial characteristic measurement data of the battery and outputting the long term characteristic estimation data.
    • 一种用于估计电池的长期特性的系统包括:学习数据输入单元,用于接收作为学习对象的电池的初始特性学习数据和长期特性学习数据; 测量数据输入单元,用于接收作为估计长期特性的对象的电池的初始特性测量数据; 以及人工神经网络运算单元,用于从学习数据输入单元接收初始特征学习数据和长期特征学习数据,以允许学习人工神经网络,从测量数据输入单元接收初始特征测量数据并应用 向其学习人造神经网络,并且由此从电池的初始特性测量数据计算长期特性估计数据并输出长期特性估计数据。