BP预测

所属分类:matlab编程
开发工具:matlab
文件大小:86396KB
下载次数:10
上传日期:2021-03-28 16:45:45
上 传 者mlicc
说明:  基于BP神经网络的锂离子电池剩余使用寿命预测
(Residual service life prediction of lithium ion battery based on BPneural network)

文件列表:
b.mat (56491046, 2021-01-22)
B0005.mat (15956874, 2008-10-01)
B0007.mat (16032544, 2020-05-21)
boqingwen.m (2205, 2014-07-25)
BPB5.m (2025, 2021-03-28)
ma.mat (190, 2021-01-22)
rls.m (2642, 2018-05-24)
rongliang.m (2279, 2021-01-31)
UKFF.m (4454, 2018-09-03)

Data Description: A set of four Li-ion batteries (# 5, 6, 7 and 18) were run through 3 different operational profiles (charge, discharge and impedance) at room temperature. Charging was carried out in a constant current (CC) mode at 1.5A until the battery voltage reached 4.2V and then continued in a constant voltage (CV) mode until the charge current dropped to 20mA. Discharge was carried out at a constant current (CC) level of 2A until the battery voltage fell to 2.7V, 2.5V, 2.2V and 2.5V for batteries 5 6 7 and 18 respectively. Impedance measurement was carried out through an electrochemical impedance spectroscopy (EIS) frequency sweep from 0.1Hz to 5kHz. Repeated charge and discharge cycles result in accelerated aging of the batteries while impedance measurements provide insight into the internal battery parameters that change as aging progresses. The experiments were stopped when the batteries reached end-of-life (EOL) criteria, which was a 30% fade in rated capacity (from 2Ahr to 1.4Ahr). This dataset can be used for the prediction of both remaining charge (for a given discharge cycle) and remaining useful life (RUL). Files: B0005.mat Data for Battery #5 B0006.mat Data for Battery #6 B0007.mat Data for Battery #7 B0018.mat Data for Battery #18 Data Structure: cycle: top level structure array containing the charge, discharge and impedance operations 包含充电、放电和阻抗操作的顶层结构阵列 type: operation type, can be charge, discharge or impedance 操作类型,可充电,放电或阻抗 ambient_temperature: ambient temperature (degree C)环境温度(C度) time: the date and time of the start of the cycle, in MATLAB date vector format 周期开始的日期和时间,以MATLAB的日期矢量格式表示 data: data structure containing the measurements包含测量值的数据结构 for charge the fields are:充电数据如下 Voltage_measured: Battery terminal voltage (Volts)电池端电压 Current_measured: Battery output current (Amps) Temperature_measured: Battery temperature (degree C) Current_charge: Current measured at charger (Amps)充电器测量电流 Voltage_charge: Voltage measured at charger (Volts) Time: Time vector for the cycle (secs)周期的时间矢量 for discharge the fields are: Voltage_measured: Battery terminal voltage (Volts) Current_measured: Battery output current (Amps) Temperature_measured: Battery temperature (degree C) Current_charge: Current measured at load (Amps)负载电流(安培) Voltage_charge: Voltage measured at load (Volts) Time: Time vector for the cycle (secs) Capacity: Battery capacity (Ahr) for discharge till 2.7V 电池容量(Ahr)放电至2.7V for impedance the fields are: Sense_current: Current in sense branch (Amps)感应电流(安培 Battery_current: Current in battery branch (Amps)电池电流(安培 Current_ratio: Ratio of the above currents 上述电流之比 Battery_impedance: Battery impedance (Ohms) computed from raw data 电池阻抗(欧姆)计算的原始数据 Rectified_impedance: Calibrated and smoothed battery impedance (Ohms) 校准和平滑电池阻抗(欧姆) Re:估计电解质电阻(欧姆) Estimated electrolyte resistance (Ohms) Rct:估计电荷转移电阻(欧姆) Estimated charge transfer resistance (Ohms)

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