Zhongwei Deng
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View article: A Conditional Diffusion Model for Probabilistic Prediction of Battery Capacity Degradation
A Conditional Diffusion Model for Probabilistic Prediction of Battery Capacity Degradation Open
Accurate prediction of lithium-ion battery capacity and its associated uncertainty is essential for reliable battery management but remains challenging due to the stochastic nature of aging. This paper presents a novel method, termed the C…
View article: Efficient Energy Management for Smart Homes with Electric Vehicles Using Scenario-Based Model Predictive Control
Efficient Energy Management for Smart Homes with Electric Vehicles Using Scenario-Based Model Predictive Control Open
Model predictive control (MPC) is a commonly used online strategy for maximizing economic benefits in smart homes that integrate photovoltaic (PV) panels, electric vehicles (EVs), and battery energy storage systems (BESSs). However, predic…
View article: Analysis of the influence factors for the relay valve
Analysis of the influence factors for the relay valve Open
In view of the large deviation between the characteristic curve obtained from the actual test and the theoretical curve for some relay valves, according to the working principle of the relay valve, the simulation model of the relay valve, …
View article: Ground Penetrating Radar Based Integrated System for Real-Time River Ice Thickness Detection by Multi-sensor Fusion
Ground Penetrating Radar Based Integrated System for Real-Time River Ice Thickness Detection by Multi-sensor Fusion Open
View article: Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios
Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios Open
The reliability, lower computational complexity, and ease of implementation\nof control observers make them one of the most promising methods for the state\nestimation of Li-ion batteries (LIBs) in commercial applications. To pave their\nw…
View article: Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data
Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data Open
View article: Shrinkage Mamba Relation Network with Out-of-Distribution Data Augmentation for Rotating Machinery Fault Detection and Localization Under Zero-Faulty Data
Shrinkage Mamba Relation Network with Out-of-Distribution Data Augmentation for Rotating Machinery Fault Detection and Localization Under Zero-Faulty Data Open
View article: Rapid Online Fault Diagnosis of High-Resistance Connection in PMSM Drive System through Self-Developed Dynamic Simulation Test System
Rapid Online Fault Diagnosis of High-Resistance Connection in PMSM Drive System through Self-Developed Dynamic Simulation Test System Open
High-resistance connections (HRC) in permanent magnet synchronous motor (PMSM) drive system is a precursor of uncontrollable overheating or fire. However, the current HRC test environment is typically founded on fixed resisto…
View article: A Comprehensive Study on the Effect of Inhomogeneous Heat Dissipation on Battery Electrochemical Performance
A Comprehensive Study on the Effect of Inhomogeneous Heat Dissipation on Battery Electrochemical Performance Open
In this paper, the unbalanced discharge of lithium-ion battery module caused by heat dissipation is studied. The battery pack is composed of 12 batteries, which are divided into four modules in series, and three batteries in each module ar…
View article: A Cloud-based State of Health Estimation Method for Lithium-ion Batteries Using Sparse Charging Data
A Cloud-based State of Health Estimation Method for Lithium-ion Batteries Using Sparse Charging Data Open
Under the current background of the national standard requirements for electric vehicle remote management and the companies’ needs for their digital platform services, automobile factories habitually transmit battery data to a cloud in a s…
View article: Fault Diagnosis of Rotating Machinery Based on Two-Stage Compressed Sensing
Fault Diagnosis of Rotating Machinery Based on Two-Stage Compressed Sensing Open
Intelligent on-site fault diagnosis and professional vibration analysis are essential for the safety and stability of rotating machinery operation. This paper represents a fault diagnosis scheme based on two-stage compressed sensing for tr…
View article: A Phase-Based Method for Estimating the Internal Temperature of Solid-State Battery
A Phase-Based Method for Estimating the Internal Temperature of Solid-State Battery Open
View article: Estimation of Distributed Temperature of Large-format Fast-charging Lithium-ion Batteries Based on a Model-data Fusion Method
Estimation of Distributed Temperature of Large-format Fast-charging Lithium-ion Batteries Based on a Model-data Fusion Method Open
摘要： 充电时间长、续航里程短、热安全性差等问题正成为阻碍电动汽车大规模应用的主要因素。高安全无损快充和高比能电池技术正成为发展趋势，具体表现为充电功率快速和电池单体大型化提高。然而，大尺寸锂离子电池的温度不一致性问题明显，高功率充电容易导致电池温度快速升高甚至引发热失控。因此，针对快充场景，开发准确高效的温度估计方法尤为重要。针对软包型锂离子电池的分布式温度估计问题，提出一种基于长短期记忆神经网络(Long short-term memory， LSTM)与产热模型融合的…
View article: State of Health Trajectory Prediction Based on Multi-Output Gaussian Process Regression for Lithium-Ion Battery
State of Health Trajectory Prediction Based on Multi-Output Gaussian Process Regression for Lithium-Ion Battery Open
Lithium-ion battery state of health (SOH) accurate prediction is of great significance to ensure the safe reliable operation of electric vehicles and energy storage systems. However, safety issues arising from the inaccurate estimation and…
View article: Electrochemical Parameter Identification for Lithium-ion Battery Sources in Self-Sustained Transportation Energy Systems
Electrochemical Parameter Identification for Lithium-ion Battery Sources in Self-Sustained Transportation Energy Systems Open
Lithium-ion battery (LIB) sources have played an essential role in self-sustained transportation energy systems and have been widely deployed in the last few years. To realize reliable battery maintenance, identifying its electrochemical p…
View article: Battery health evaluation using a short random segment of constant current charging
Battery health evaluation using a short random segment of constant current charging Open
View article: Fault Diagnosis Based on Compressed Sensing of Multisource Data
Fault Diagnosis Based on Compressed Sensing of Multisource Data Open
With the development of the internet of things (IoT) and the application of 5G communication, fault diagnosis of massive multisource sensor data becomes more and more important. In this study, a compressed multisource sensor data-based fau…
View article: Early Prognostics of Lithium-Ion Battery Pack Health
Early Prognostics of Lithium-Ion Battery Pack Health Open
Accurate health prognostics of lithium-ion battery packs play a crucial role in timely maintenance and avoiding potential safety accidents in energy storage. To rapidly evaluate the health of newly developed battery packs, a method for pre…
View article: Lifetime and Aging Degradation Prognostics for Lithium-ion Battery Packs Based on a Cell to Pack Method
Lifetime and Aging Degradation Prognostics for Lithium-ion Battery Packs Based on a Cell to Pack Method Open
Aging diagnosis of batteries is essential to ensure that the energy storage systems operate within a safe region. This paper proposes a novel cell to pack health and lifetime prognostics method based on the combination of transferred deep …
View article: Generalized Data-driven SOH Estimation Method for Battery Systems
Generalized Data-driven SOH Estimation Method for Battery Systems Open
Accurate and reliable battery state of health estimation is the key to ensuring the safe operation of lithium-ion batteries, and provides a reference for failure warning. A general method to estimate the state of health of both battery cel…
View article: Comparative Study of Electrochemical-thermal Models for Li-ion Batteries
Comparative Study of Electrochemical-thermal Models for Li-ion Batteries Open
摘要: 电池模型对电池系统的健康管理和故障诊断至关重要。随着电池技术的发展,电化学模型正成为研究热点。电化学模型由偏微分方程构成,计算复杂度高。模型数学重构和模型结构简化是两类降低复杂度的方法。不同复杂度模型的对比研究可为模型工程应用选择提供指导,然而现有研究多基于仿真数据且忽略了温度对电池电化学行为的影响。针对上述不足,通过理论分析、数值仿真和试验测试开展了电化学-热耦合模型的对比研究工作。基于理论与仿真分析,明确不同模型的误差来源;通过敏感性分析,提升了模型参数的辨识精…
View article: A Simplified Electro-Chemical Lithium-Ion Battery Model Applicable for in Situ Monitoring and Online Control
A Simplified Electro-Chemical Lithium-Ion Battery Model Applicable for in Situ Monitoring and Online Control Open
View article: Review on Research Progress in High-fidelity Modeling, Parameter Identification and Lifetime Prognostics of Lithium-ion Battery
Review on Research Progress in High-fidelity Modeling, Parameter Identification and Lifetime Prognostics of Lithium-ion Battery Open
摘要: 拥有高能量密度、低自放电率和长寿命的锂离子电池是电动车辆的主要储能单元,其性能直接影响了车辆的动力性和安全性。然而,锂离子电池是复杂的电化学系统,其内部状态具有时变性和不可观测性。此外,电池在使用过程中性能将不断衰减,将给车辆的安全性带来隐患。为保证电池在车用工况下的高效、安全和可靠运行,需要对电池实施有效管理。电池模型是管理算法的理论基础,参数辨识是模型应用的前提,而寿命预测是保证电池安全的关键技术。针对上述实际应用需求,综述了锂离子电池高精度电化学-热耦合机理建…
View article: A simplified electro-chemical lithium-ion battery model applicable for in situ monitoring and online control
A simplified electro-chemical lithium-ion battery model applicable for in situ monitoring and online control Open
The penetrations of lithium-ion batteries in transport, energy and communication systems are increasing rapidly. A meticulous model applicable for precise in-situ monitoring and convenient online controlling is in sought to bridge the gap …
View article: Data-driven Comprehensive Evaluation of Lithium-ion Battery State of Health and Abnormal Battery Screening
Data-driven Comprehensive Evaluation of Lithium-ion Battery State of Health and Abnormal Battery Screening Open
摘要: 锂离子电池是电动汽车和储能系统最重要的组成部分,其故障预测和健康管理对于运行维护至关重要。数据驱动的方法较基于模型的方法更适合大规模工程应用,针对实际应用中工况复杂和数据质量较差的场景,提出数据驱动的健康状态综合评分及异常筛选算法,具有较强的适应性。首先,针对电池实际运行工况提出一种新的特征提取方案,可适用于非恒流的不稳定工况。开发了基于多维特征和混合聚类算法的健康状态综合评分体系,该方案采用无监督学习的算法框架,对可提取特征的数量和质量要求不高,无需进行事先的模型…
View article: Cycle Mileage Prediction of Electric Vehicle over Macro Timescale
Cycle Mileage Prediction of Electric Vehicle over Macro Timescale Open
400044； 2. 清华大学电力系统及大型发电设备安全控制和仿真实验室 北京 100084； 3.
View article: Maximum Available Capacity and Energy Estimation Based on Support Vector Machine Regression for Lithium-ion Battery
Maximum Available Capacity and Energy Estimation Based on Support Vector Machine Regression for Lithium-ion Battery Open
The practical application of electric vehicle needs an accurate and robust battery management system to monitor the battery state in real-time. The maximum available capacity (MAC) and maximum available energy (MAE) need to be derived befo…
View article: Online Identification with Reliability Criterion and State of Charge Estimation Based on a Fuzzy Adaptive Extended Kalman Filter for Lithium-Ion Batteries
Online Identification with Reliability Criterion and State of Charge Estimation Based on a Fuzzy Adaptive Extended Kalman Filter for Lithium-Ion Batteries Open
In the field of state of charge (SOC) estimation, the Kalman filter has been widely used for many years, although its performance strongly depends on the accuracy of the battery model as well as the noise covariance. The Kalman gain determ…