1 |
刘大同, 宋宇晨, 武巍, 等. 锂离子电池组健康状态估计综述[J]. 仪器仪表学报, 2020, 41(11): 1-18.
|
|
LIU D T, SONG Y C, WU W, et al. Review of state of health estimation for lithium-ion battery pack[J]. Chinese Journal of Scientific Instrument, 2020, 41(11): 1-18.
|
2 |
戴海峰, 张艳伟, 魏学哲, 等. 锂离子电池剩余寿命预测研究[J]. 电源技术, 2019, 43(12): 2029-2035.
|
|
DAI H F, ZHANG Y W, WEI X Z, et al. Review of remaining useful life prediction for lithium ion battery[J]. Chinese Journal of Power Sources, 2019, 43(12): 2029-2035.
|
3 |
苏伟, 钟国彬, 沈佳妮, 等. 锂离子电池故障诊断技术进展[J]. 储能科学与技术, 2019, 8(2): 225-236.
|
|
SU W, ZHONG G B, SHEN J N, et al. The progress in fault diagnosis techniques for lithium-ion batteries[J]. Energy Storage Science and Technology, 2019, 8(2): 225-236.
|
4 |
田君, 高洪波, 张跃强, 等. 电动汽车动力锂离子电池寿命预测方法研究[J]. 电源技术, 2020, 44(5): 767-770.
|
|
TIAN J, GAO H B, ZHANG Y Q, et al. Research of life prediction methods for power Li-ion battery in electric vehicles[J]. Chinese Journal of Power Sources, 2020, 44(5): 767-770.
|
5 |
焦自权, 范兴明, 张鑫, 等. 基于改进粒子滤波算法的锂离子电池状态跟踪与剩余使用寿命预测方法[J]. 电工技术学报, 2020, 35(18): 3979-3993.
|
|
JIAO Z Q, FAN X M, ZHANG X, et al. State tracking and remaining useful life predictive method of Li-ion battery based on improved particle filter algorithm[J]. Transactions of China Electrotechnical Society, 2020, 35(18): 3979-3993.
|
6 |
CHOI Y, RYU S, PARK K, et al. Machine learning-based lithium-ion battery capacity estimation exploiting multi-channel charging profiles[J]. IEEE Access, 2019, 7: 75143-75152.
|
7 |
高昆仑, 杨帅, 刘思言, 等. 基于一维卷积神经网络的电力系统暂态稳定评估[J]. 电力系统自动化, 2019, 43(12): 18-26.
|
|
GAO K L, YANG S, LIU S Y, et al. Transient stability assessment for power system based on one-dimensional convolutional neural network[J]. Automation of Electric Power Systems, 2019, 43(12): 18-26.
|
8 |
王宇胜, 陈德旺, 蔡俊鹏, 等. 基于LSTM-SVR的锂电池健康状态预测研究[J]. 电源技术, 2020, 44(12): 1784-1787.
|
|
WANG Y S, CHEN D W, CAI J P, et al. Research on lithium battery state of health prediction based on LSTM-SVR[J]. Chinese Journal of Power Sources, 2020, 44(12): 1784-1787.
|
9 |
周飞燕, 金林鹏, 董军. 卷积神经网络研究综述[J]. 计算机学报, 2017, 40(6): 1229-1251.
|
|
ZHOU F Y, JIN L P, DONG J. Review of convolutional neural network[J]. Chinese Journal of Computers, 2017, 40(6): 1229-1251.
|
10 |
杨丽, 吴雨茜, 王俊丽, 等. 循环神经网络研究综述[J]. 计算机应用, 2018, 38(S2): 1-6, 26.
|
|
YANG L, WU Y X, WANG J L, et al. Research on recurrent neural network[J]. Journal of Computer Applications, 2018, 38(S2): 1-6, 26.
|
11 |
SONG X B, YANG F F, WANG D, et al. Combined CNN-LSTM network for state-of-charge estimation of lithium-ion batteries[J]. IEEE Access, 2019, 7: 88894-88902.
|
12 |
SAHA B. Goebel "Battery data set " NASA AMES prognostics data repository[EB/OL]. 2007. http://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#battery.
|