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1. 发明专利

JP2004333472A Internal condition detecting system for charge accumulating device for vehicle 有权
公开(公告)号：JP2004333472A
公开(公告)日：2004-11-25
申请号：JP2003420483
申请日：2003-12-18
申请人： Denso Corp , Nippon Soken Inc , 株式会社デンソー , 株式会社日本自動車部品総合研究所
发明人： TANIGUCHI MAKOTO , ICHIKAWA ATSUSHI , SAKAI SHOJI , SATO HIROYUKI , HASHIKAWA ATSUSHI , MIZUNO SATORU , MIZUNO NAOKI , MORITA YOSHIFUMI
IPC分类号： G01R31/36 , B60R16/04 , G08C15/00 , H01M10/48
CPC分类号： G01R31/3624 , G01R31/3648 , G01R31/3651 , G01R31/3662 , G01R31/3665
摘要： PROBLEM TO BE SOLVED: To easily and precisely detect a residual capacity in a charge accumulating device by detecting current values and voltage values to be accumulated in a buffer.
SOLUTION: This system is provided with the charge accumulating device for providing electric power to an on-vehicle electric equipment, a means for detecting a charging and discharging current for the accumulating device, and a means for detecting a terminal voltage of the accumulating device, and learns the internal condition quantity of the accumulating device to be output, through a neutral network based on the current values and the terminal voltage values of the accumulating device. The current values and the terminal voltage values are supplied to include historical information in the past.
COPYRIGHT: (C)2005,JPO&NCIPI

2. 发明专利

JP2007240521A Method of calculating state quantity of secondary battery 有权
标题翻译：计算二次电池状态数量的方法
公开(公告)号：JP2007240521A
公开(公告)日：2007-09-20
申请号：JP2007019727
申请日：2007-01-30
申请人： Denso Corp , Nagoya Institute Of Technology , Nippon Soken Inc , 国立大学法人名古屋工業大学 , 株式会社デンソー , 株式会社日本自動車部品総合研究所
发明人： SO MASAHIRO , OZAWA TAKAHARU , MIZUNO SATORU , SAKAI SHOJI , MIZUNO NAOKI , MORITA YOSHIFUMI , LEE SUN HEE
IPC分类号： G01R31/36 , H01M10/48
CPC分类号： Y02E60/12
摘要： PROBLEM TO BE SOLVED: To provide a method of calculating a storage state quantity of a secondary battery capable of accurately extracting the storage state quantity by a neural network operation, while preventing detection accuracy from dropping due to variations in the characteristics of a target to be measured, while increasing detection opportunities.
SOLUTION: The method of calculating the storage quantity of the secondary battery calculates the storage state quantity of the secondary battery by means of a neutral net, while using a deduced coefficient value of a mathematical model, deduced by means of battery state data detected from the secondary battery, the mathematical model of the secondary battery, and the battery state data as input parameters. The input parameters to be employed in the neutral net operation include a polarization-related quantity which is an electrical quantity, related to charging and discharging current in a predetermined period, immediately before polarization quantity of the secondary battery is influenced, the voltage and current of the secondary battery, and in addition, coefficients R, L and C calculated by a mathematical model corresponding to an RLC serial connection circuit model of the secondary battery.
COPYRIGHT: (C)2007,JPO&INPIT
摘要翻译：要解决的问题：提供一种通过神经网络操作来计算能够精确地提取存储状态量的二次电池的存储状态量的方法，同时防止由于a的特性的变化而引起的检测精度下降目标要测量，同时增加检测机会。解决方案：计算二次电池的存储量的方法通过中性网计算二次电池的存储状态量，同时使用通过电池状态数据推导的数学模型的推导系数值从二次电池检测到的二次电池的数学模型和电池状态数据作为输入参数。在中性网络运行中使用的输入参数包括在二次电池的极化量受影响之前的预定时间段内与充电和放电电流相关的电量的极化相关量，电压和电流二次电池，另外，通过与二次电池的RLC串联连接电路模型对应的数学模型计算出的系数R，L，C。版权所有（C）2007，JPO＆INPIT

3. 发明专利

JP2006300694A System for detecting internal state of electric storage device for vehicle 有权
标题翻译：用于检测车辆电气存储装置内部状态的系统
公开(公告)号：JP2006300694A
公开(公告)日：2006-11-02
申请号：JP2005122030
申请日：2005-04-20
申请人： Denso Corp , Nagoya Institute Of Technology , Nippon Soken Inc , 国立大学法人名古屋工業大学 , 株式会社デンソー , 株式会社日本自動車部品総合研究所
发明人： MIZUNO SATORU , HASHIKAWA ATSUSHI , SAKAI SHOJI , OZAWA TAKAHARU , MIZUNO NAOKI , MORITA YOSHIFUMI
IPC分类号： G01R31/36 , H01T13/60 , B60R16/04 , H01M10/48
CPC分类号： G01R31/361 , G01R31/3648
摘要： PROBLEM TO BE SOLVED: To achieve a remaining capacity operation system of a secondary battery of a neural network type capable of precisely measuring an electric quantity related to the electric storage state while preventing increase in operation load.
SOLUTION: When using SOC by a neural network operation using at least a voltage, a current, an open circuit voltage Vo, and internal resistance R, the open circuit voltage Vo and the internal resistance R are corrected by a polarization related quantity and are then used as input parameters for neural network operation. Thus, the SOC operation accuracy is easily improved.
COPYRIGHT: (C)2007,JPO&INPIT
摘要翻译：要解决的问题：为了实现能够精确地测量与蓄电状态相关的电量的神经网络型的二次电池的剩余容量操作系统，同时防止操作负载的增加。解决方案：通过使用至少电压，电流，开路电压Vo和内部电阻R的神经网络操作来使用SOC时，开路电压Vo和内部电阻R通过极化相关量来校正然后用作神经网络操作的输入参数。因此，SOC操作精度容易提高。版权所有（C）2007，JPO＆INPIT

4. 发明专利

JP2006300692A Remaining capacity operation system of secondary battery 审中-公开
标题翻译：二次电池剩余容量运行系统
公开(公告)号：JP2006300692A
公开(公告)日：2006-11-02
申请号：JP2005122011
申请日：2005-04-20
申请人： Denso Corp , Nagoya Institute Of Technology , Nippon Soken Inc , 国立大学法人名古屋工業大学 , 株式会社デンソー , 株式会社日本自動車部品総合研究所
发明人： MIZUNO SATORU , HASHIKAWA ATSUSHI , SAKAI SHOJI , OZAWA TAKAHARU , MIZUNO NAOKI , MORITA YOSHIFUMI
IPC分类号： G01R31/36 , H01M10/48
CPC分类号： Y02E60/12
摘要： PROBLEM TO BE SOLVED: To achieve a remaining capacity operation system of a secondary battery of a neural network type capable of precisely measuring an electric quantity related to the electric storage state while preventing increase in operation load.
SOLUTION: Battery state data or a battery state function is sorted into a plurality of groups for each prescribed characteristic range. For each sorting group, an already learned coupling coefficient storage table to be used in the neural network operation is separately prepared in advance, and the coupling coefficient storage table is switched by an open circuit voltage when fully charged. Thus, the SOC operation accuracy is easily improved.
COPYRIGHT: (C)2007,JPO&INPIT
摘要翻译：要解决的问题：为了实现能够精确地测量与蓄电状态相关的电量的神经网络型的二次电池的剩余容量操作系统，同时防止操作负载的增加。
解决方案：对于每个规定的特征范围，电池状态数据或电池状态功能被分类成多个组。对于每个分类组，预先分别准备在神经网络操作中使用的已经学习的耦合系数存储表，并且当完全充电时，耦合系数存储表由开路电压切换。因此，SOC操作精度容易提高。版权所有（C）2007，JPO＆INPIT

5. 发明专利

JP2006300691A Remaining capacity operation system of secondary battery 有权
标题翻译：二次电池剩余容量运行系统
公开(公告)号：JP2006300691A
公开(公告)日：2006-11-02
申请号：JP2005122009
申请日：2005-04-20
申请人： Denso Corp , Nagoya Institute Of Technology , Nippon Soken Inc , 国立大学法人名古屋工業大学 , 株式会社デンソー , 株式会社日本自動車部品総合研究所
发明人： MIZUNO SATORU , HASHIKAWA ATSUSHI , SAKAI SHOJI , OZAWA TAKAHARU , MIZUNO NAOKI , MORITA YOSHIFUMI
IPC分类号： G01R31/36 , H01T13/60 , H01M10/48
CPC分类号： G01R31/361 , G01R31/3648
摘要： PROBLEM TO BE SOLVED: To achieve a remaining capacity operation system of a secondary battery of a neural network type capable of precisely measuring an electric quantity related to the electric storage state while preventing increase in operation load.
SOLUTION: The SOC operation accuracy is easily improved by adopting the latest current accumulation amount Qx as an input parameter, in addition to the past record of a voltage/current pair and an open circuit voltage Vo.
COPYRIGHT: (C)2007,JPO&INPIT
摘要翻译：要解决的问题：为了实现能够精确地测量与蓄电状态相关的电量的神经网络型的二次电池的剩余容量操作系统，同时防止操作负载的增加。
解决方案除了电压/电流对的过去记录和开路电压Vo之外，通过采用最新的电流累积量Qx作为输入参数，容易改善SOC运算精度。版权所有（C）2007，JPO＆INPIT

6. 发明专利

JP2006138858A Internal state detection system for vehicle lead acid battery 有权
标题翻译：车载铅酸蓄电池内部检测系统
公开(公告)号：JP2006138858A
公开(公告)日：2006-06-01
申请号：JP2005336134
申请日：2005-11-21
申请人： Denso Corp , 株式会社デンソー
发明人： TANIGUCHI MAKOTO , ICHIKAWA ATSUSHI , SATO HIROYUKI , SAKAI SHOJI , MIZUNO NAOKI , MORITA YOSHIFUMI
IPC分类号： G01R31/36 , B60R16/04 , G08C15/00 , H01M10/48
CPC分类号： G01R31/3624 , G01R31/3648 , G01R31/3651 , G01R31/3662 , G01R31/3665
摘要： PROBLEM TO BE SOLVED: To provide a system capable of accurately detecting the internal state of a lead acid battery even in an actual using state in a market after learning the internal state quantity of the lead acid battery, based on information related to lead acid battery model in addition to current value and voltage value.
SOLUTION: This system comprises the lead acid battery supplying power to an on-vehicle electric device, a means for detecting current values of charging and discharging of the lead acid battery, and a means for detecting the terminal voltage value of the lead acid battery, in which the internal state quantity of the lead acid battery is learnt by a neural network using the current value and terminal voltage of the lead acid battery as input and output. Model information of the lead acid battery is input to the neural network. The current value and the terminal voltage value are superposed with past history information, whereby a correlation including hysteresis is obtained.
COPYRIGHT: (C)2006,JPO&NCIPI
摘要翻译：要解决的问题：提供一种能够在学习了铅酸电池的内部状态量之后即使在市场上的实际使用状态下也能够精确地检测铅酸电池的内部状态的系统，基于与铅酸电池模型除了电流值和电压值外。解决方案：该系统包括向车载电气设备供电的铅酸蓄电池，用于检测铅酸蓄电池的充电和放电的当前值的装置，以及用于检测铅的端子电压值的装置酸性电池，其中使用铅酸电池的电流值和端子电压作为输入和输出，通过神经网络学习铅酸电池的内部状态量。铅酸电池的型号信息输入神经网络。电流值和端子电压值与过去历史信息叠加，从而获得包括滞后的相关性。版权所有（C）2006，JPO＆NCIPI

7. 发明专利

JP2006220617A Internal state detection system for charge accumulating device for vehicle 有权
标题翻译：用于车辆充电累积装置的内部状态检测系统
公开(公告)号：JP2006220617A
公开(公告)日：2006-08-24
申请号：JP2005036442
申请日：2005-02-14
申请人： Denso Corp , Nagoya Institute Of Technology , Nippon Soken Inc , 国立大学法人名古屋工業大学 , 株式会社デンソー , 株式会社日本自動車部品総合研究所
发明人： MIZUNO SATORU , HASHIKAWA ATSUSHI , SAKAI SHOJI , ICHIKAWA ATSUSHI , MIZUNO NAOKI , MORITA YOSHIFUMI
IPC分类号： G01R31/36 , B60L3/00 , B60R16/04 , H01M10/48
CPC分类号： Y02E60/12
摘要： PROBLEM TO BE SOLVED: To provide an internal state detector for a charge accumulating device for a vehicle of a neural network type, capable of measuring precisely electric energy as to a charge accumulation condition.
SOLUTION: A battery state quantity (open circuit voltage, an internal resistance or the like) in prescribed capacity of discharge from determination of full charge is input into a neural network part 107, in addition to a voltage history and a current history, in order to find the charge accumulation condition (SOC and SOH) by neural network computation.
COPYRIGHT: (C)2006,JPO&NCIPI
摘要翻译：要解决的问题：提供一种用于神经网络型车辆的电荷累积装置的内部状态检测器，其能够精确地测量关于电荷累积条件的电能。
解决方案除了电压历史和当前历史之外，还将从完全充电确定的放电规定容量的电池状态量（开路电压，内部电阻等）输入到神经网络部分107中，以通过神经网络计算找到电荷累积条件（SOC和SOH）。版权所有（C）2006，JPO＆NCIPI

8. 发明专利

JP2004317256A Internal state detection system for vehicle electric storage device 有权
公开(公告)号：JP2004317256A
公开(公告)日：2004-11-11
申请号：JP2003110652
申请日：2003-04-15
申请人： Denso Corp , Nippon Soken Inc , 株式会社デンソー , 株式会社日本自動車部品総合研究所
发明人： TANIGUCHI MAKOTO , ICHIKAWA ATSUSHI , SATO HIROYUKI , SAKAI SHOJI , MIZUNO NAOKI , MORITA YOSHIFUMI
IPC分类号： G01R31/36 , B60R16/04 , G08C15/00 , H01M10/48
CPC分类号： G01R31/3624 , G01R31/3648 , G01R31/3651 , G01R31/3662 , G01R31/3665
摘要： PROBLEM TO BE SOLVED: To provide a system which can precisely detect the internal state of an electric storage device even in the actual usage condition in the market, after learning the amount of the internal state of the electric storage device on the basis of the information on the model of the electric storage device, in addition to the current value and the voltage value.
SOLUTION: The system is equipped with the electric storage device for supplying the electric power to a vehicle-mounted electric device, a means for detecting the current value of the charge/discharge of the electric storage device, and a means for detecting the terminal voltage value of the electric storage device, and learns and outputs the amount of the internal state of the electric storage device, by means of a neural network having the inputs of the current value and the terminal voltage of the electric storage device, in which the information on the model of the electric storage device is inputted to the neural network.
COPYRIGHT: (C)2005,JPO&NCIPI

9. 发明专利

JP2006329707A Remaining capacity operational method of secondary battery 有权
标题翻译：二次电池剩余容量运行方法
公开(公告)号：JP2006329707A
公开(公告)日：2006-12-07
申请号：JP2005151059
申请日：2005-05-24
申请人： Denso Corp , Nagoya Institute Of Technology , Nippon Soken Inc , 国立大学法人名古屋工業大学 , 株式会社デンソー , 株式会社日本自動車部品総合研究所
发明人： MIZUNO SATORU , HASHIKAWA ATSUSHI , SAKAI SHOJI , OZAWA TAKAHARU , MIZUNO NAOKI , MORITA YOSHIFUMI
IPC分类号： G01R31/36 , H01M10/48
CPC分类号： G01R31/3648 , G01R31/3679
摘要： PROBLEM TO BE SOLVED: To provide a remaining capacity operational method for a secondary battery, capable of extracting the remaining capacity by a neural net operation with high accuracy, while avoiding excessive operating load.
SOLUTION: The neural net work part 107 calculates the SOC (state of charge), by using the ratio of (xt/xm) or the primary functional value of xm and xt as an input parameter, especially, as the input parameter as the battery degradation relation amount, wherein the amount of battery state xm denotes the state discharged by prescribed capacity from the full-charged state, and the xt denotes the present value of the amount of the battery state. Accordingly, correlation between the degradation relating amount and SOC is reduce in dispersion by the dispersion of the battery, so that the SOC can be calculated with high accuracy by the neural net operation.
COPYRIGHT: (C)2007,JPO&INPIT
摘要翻译：要解决的问题：为了提供二次电池的剩余容量操作方法，能够通过神经网络操作以高精度提取剩余容量，同时避免过多的操作负载。解决方案：神经网络工作部分107通过使用（xt / xm）的比率或xm和xt的主要功能值作为输入参数来计算SOC（充电状态），特别是作为输入参数作为电池劣化关系量，其中电池状态量xm表示从满充电状态放出的规定容量的状态，xt表示电池状态的当前值。因此，通过电池的分散，劣化有关量和SOC之间的相关性降低，从而可以通过神经网络操作以高精度计算SOC。版权所有（C）2007，JPO＆INPIT

10. 发明专利

JP2006300690A System for detecting internal state of electric storage device for vehicle 有权
标题翻译：用于检测车辆电气存储装置内部状态的系统
公开(公告)号：JP2006300690A
公开(公告)日：2006-11-02
申请号：JP2005122004
申请日：2005-04-20
申请人： Denso Corp , Nagoya Institute Of Technology , Nippon Soken Inc , 国立大学法人名古屋工業大学 , 株式会社デンソー , 株式会社日本自動車部品総合研究所
发明人： MIZUNO SATORU , HASHIKAWA ATSUSHI , SAKAI SHOJI , OZAWA TAKAHARU , MIZUNO NAOKI , MORITA YOSHIFUMI
IPC分类号： G01R31/36 , B60R16/04 , H01M10/48
CPC分类号： Y02E60/12
摘要： PROBLEM TO BE SOLVED: To achieve a remaining capacity operation system of a secondary battery of a neural network type capable of precisely measuring an electric quantity related to the electric storage state while preventing increase in operation load.
SOLUTION: The SOC operation accuracy is easily improved by adopting a full charge ratio of a function value (Vo×Vo)/R or a full charge ratio of a function value (Vm-Vo)/R as an input parameter of the neural network operation, where Vo is an open circuit voltage and R is internal resistance.
COPYRIGHT: (C)2007,JPO&INPIT

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