Search Results for author: Xiaosong Hu

Found 7 papers, 0 papers with code

Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate Batteries

no code implementations16 Jan 2024 Baozhao Yi, Xinhao Du, Jiawei Zhang, Xiaogang Wu, Qiuhao Hu, Weiran Jiang, Xiaosong Hu, Ziyou Song

Besides, the voltage measurement biases estimated in the low-slope SOC regions are compensated in the following joint estimation of SOC and SOH to enhance the state estimation accuracy further.

Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy

no code implementations13 Aug 2023 Xubo Gu, Hanyu Bai, Xiaofan Cui, Juner Zhu, Weichao Zhuang, Zhaojian Li, Xiaosong Hu, Ziyou Song

Due to the increasing volume of Electric Vehicles in automotive markets and the limited lifetime of onboard lithium-ion batteries (LIBs), the large-scale retirement of LIBs is imminent.

Explainable Models

No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving Vehicles

no code implementations8 Dec 2022 Wenhao Yu, Chengxiang Zhao, Jiaxin Liu, Yingkai Yang, Xiaohan Ma, Jun Li, Weida Wang, Hong Wang, Ding Zhao, Xiaosong Hu

To address these challenges, this paper aims to digitize traffic law comprehensively and provide an application for online monitoring of legal driving behavior for autonomous vehicles.

Autonomous Driving Decision Making

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

no code implementations26 Sep 2022 Kaixiang Zhang, Kaian Chen, 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.

Classification Feature Importance +1

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

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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