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State of Health Prediction of Lithium-ion Batteries UsingNovel Indicator and Optimized Gaussian Process Regression

机译：锂离子电池的健康状况使用诺尔指示器和优化高斯过程回归

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来源
《World Maritime Technology Conference》|2018年|1 CD-ROM|共8页
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Jian Liu; Ziqiang Chen; Deyang Huang; Shiyao Zhou; Yu Jiang; Tiantian Lin;
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1. SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators [J] . Industrial and organizational psychology . 2020,第2期

机译：SOH基于高斯工艺回归与间接健康指标的高斯进程回归的SOH和RUL预测
2. State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble [J] . Yu Jianbo Reliability Engineering & System Safety . 2018,第juna期

机译：锂离子电池健康状态预测：多尺度逻辑回归和高斯过程回归集成
3. Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries [J] . Liu Kailong, Li Yi, Hu Xiaosong, IEEE transactions on industrial informatics . 2020,第6期

机译：高斯工艺回归自动相关性测定核，用于锂离子电池的日历老化预测
4. State of Health Prediction of Lithium-ion Batteries UsingNovel Indicator and Optimized Gaussian Process Regression [C] . Jian Liu, Ziqiang Chen, Deyang Huang, World Maritime Technology Conference . 2018

机译：锂离子电池的健康状况使用诺尔指示器和优化高斯过程回归
5. Synergistic Human-Machine Prediction: Active Error Analysis and Mitigation with Gaussian Process Regression [D] . Claros Olivares, Claudio Cesar. 2020

机译：协同机会人机预测：高斯过程回归的主动误差分析与缓解
6. Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Gaussian Processes Mixture [O] . Lingling Li, Pengchong Wang, Kuei-Hsiang Chao, -1

机译：基于高斯过程混合的锂离子电池剩余使用寿命预测
7. State-of-Health Prediction For Lithium-Ion Batteries With Multiple Gaussian Process Regression Model [O] . Xueying Zheng, Xiaogang Deng 2019

机译：多重高斯过程回归模型对锂离子电池的健康预测

State of Health Prediction of Lithium-ion Batteries UsingNovel Indicator and Optimized Gaussian Process Regression

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