西南科技大学信息工程学院
纸质出版:2019
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[1]陈培华,聂诗良.预测电池放电终止时间的通用架构[J].传感器与微系统,2019,38(09):47-49+52.
CHEN Peihua, NIE Shiliang. General architecture for predicting battery discharge termination time[J]. 2019, 38(9): 47-49+52.
[1]陈培华,聂诗良.预测电池放电终止时间的通用架构[J].传感器与微系统,2019,38(09):47-49+52. DOI: 10.13873/J.1000-9787(2019)09-0047-03.
CHEN Peihua, NIE Shiliang. General architecture for predicting battery discharge termination time[J]. 2019, 38(9): 47-49+52. DOI: 10.13873/J.1000-9787(2019)09-0047-03.
电池过放现象会加速电池老化过程
损坏电池内部结构
缩短电池使用寿命。针对该问题
基于电池电化学模型构建了一种预测电池放电终止时间的通用架构。结合18 650型号锂电池内部参数
进行电化学模型可靠性建模。以无迹卡尔曼滤波器(UKF)和蒙特卡洛(MC)预测算法为例
进行通用预测架构的设计。最后
以公开的电池放电数据集作为实验数据来源
在设计了带图形交互界面的软件上进行电池放电终止时间预测实验
验证了该通用预测架构的实用性与可靠性。
Overdischarge will accelerate the aging process of the battery
damage the internal structure of the battery
and shorten the service life of the battery. To solve this problem
a general framework for predicting the discharge termination time of a battery is constructed based on the electrochemical model for battery. Based on the internal parameters of 18 650 lithium battery
reliability modeling of the electrochemical model for this battery is carried out. Taking UKF and MC as examples
the general prediction architecture is designed. Finally
by using the opened battery discharge dataset as the experimental data source
the experiment of battery discharge termination time prediction is carried out on the software with graphical interface
which verifies the practicability and reliability of the general prediction architecture.
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