Search Results for author: Xiaosong Hu

Found 5 papers, 0 papers with code

Data-Enabled Predictive Control for Fast Charging of Lithium-Ion Batteries with Constraint Handling

no code implementations26 Sep 2022 Kaian Chen, Kaixiang Zhang, Xinfan Lin, Yusheng Zheng, Xunyun Yin, Xiaosong Hu, Ziyou Song, Zhaojian Li

Fast charging of lithium-ion batteries has gained extensive research interests, but most of existing methods are either based on simple rule-based charging profiles or require explicit battery models that are non-trivial to identify accurately.

Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification

no code implementations10 Feb 2021 Kailong Liu, Xiaosong Hu, Huiyu Zhou, Lei Tong, W. Dhammika Widanage, James Marco

Lithium-ion battery manufacturing is a highly complicated process with strongly coupled feature interdependencies, a feasible solution that can analyse feature variables within manufacturing chain and achieve reliable classification is thus urgently needed.

Association Classification +2

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries

no code implementations31 Dec 2020 Kailong Liu, Xiaosong Hu, Zhongbao Wei, Yi Li, Yan Jiang

Experimental results demonstrate that the modified Gaussian process regression model considering the battery electrochemical and empirical ageing signature outperforms other counterparts and is able to achieve satisfactory results for both one-step and multi-step predictions.

regression

Human-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences

no code implementations16 Jul 2020 Teng Liu, Xiaolin Tang, Xiaosong Hu, Wenhao Tan, Jinwei Zhang

With online and real-time requirements in mind, this article presents a human-like energy management framework for hybrid electric vehicles according to deep reinforcement learning methods and collected historical driving data.

energy management Management +2

HCRS: A hybrid clothes recommender system based on user ratings and product features

no code implementations25 Nov 2014 Xiaosong Hu, Wen Zhu, Qing Li

Nowadays, online clothes-selling business has become popular and extremely attractive because of its convenience and cheap-and-fine price.

Recommendation Systems

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