Junzhe Shi
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View article: A Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches
A Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches Open
The persistent volatility of construction material prices poses significant risks to cost estimation, budgeting, and project delivery, underscoring the urgent need for granular and scalable forecasting methods. This study develops a foreca…
View article: Health-aware energy management for multiple stack hydrogen fuel cell and battery hybrid systems
Health-aware energy management for multiple stack hydrogen fuel cell and battery hybrid systems Open
View article: Research on Water Quality Prediction Model Based on Spatiotemporal Weighted Fusion and Hierarchical Cross-Attention Mechanisms
Research on Water Quality Prediction Model Based on Spatiotemporal Weighted Fusion and Hierarchical Cross-Attention Mechanisms Open
In the context of drinking water safety assurance, water quality prediction faces challenges due to temporal fluctuations, seasonal cycles, and the impacts of sudden events. To address the issue of cumulative prediction bias caused by the …
View article: Overcoming SOC Estimation Challenges in Lfp Batteries with a Real-Time Adaptive Method
Overcoming SOC Estimation Challenges in Lfp Batteries with a Real-Time Adaptive Method Open
View article: Relax, Estimate, and Track: A Simple Battery State-of-Charge and State-of-Health Estimation Method
Relax, Estimate, and Track: A Simple Battery State-of-Charge and State-of-Health Estimation Method Open
View article: Advanced Control of H-Bridge-Based Cell-Level Inverters for Longer Range and Battery Life in Electric Vehicles
Advanced Control of H-Bridge-Based Cell-Level Inverters for Longer Range and Battery Life in Electric Vehicles Open
View article: Relax, Estimate, and Track: a Simple Battery State-of-charge and State-of-health Estimation Method
Relax, Estimate, and Track: a Simple Battery State-of-charge and State-of-health Estimation Method Open
Battery management is a critical component of ubiquitous battery-powered energy systems, in which battery state-of-charge (SOC) and state-of-health (SOH) estimations are of crucial importance. Conventional SOC and SOH estimation methods, e…
View article: A New Framework for Nonlinear Kalman Filters
A New Framework for Nonlinear Kalman Filters Open
The Kalman filter (KF) is a state estimation algorithm that optimally combines system knowledge and measurements to minimize the mean squared error of the estimated states. While KF was initially designed for linear systems, numerous exten…
View article: Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks
Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks Open
Fuel cell (FC)/battery hybrid systems have attracted substantial attention for achieving zero-emissions buses, trucks, ships, and planes. An online energy management system (EMS) is essential for these hybrid systems, it controls energy fl…
View article: Electric Fleet Charging Management Considering Battery Degradation and Nonlinear Charging Profile
Electric Fleet Charging Management Considering Battery Degradation and Nonlinear Charging Profile Open
View article: Robust Estimation of State of Charge in Lithium Iron Phosphate Cells Enabled by Online Parameter Estimation and Deep Neural Networks
Robust Estimation of State of Charge in Lithium Iron Phosphate Cells Enabled by Online Parameter Estimation and Deep Neural Networks Open
This paper addresses the state of charge estimation problem in lithium iron phosphate (LFP) battery cells. LFP cells are particularly challenging because their fat open circuit voltage (OCV) curve means OCV-based battery models are weakly …
View article: Identification for the species of aquatic higher plants in the Taihu Lake basin based on hyperspectral remote sensing
Identification for the species of aquatic higher plants in the Taihu Lake basin based on hyperspectral remote sensing Open
Aquatic plants are crucial for an aquatic ecosystem, and their species and distribution reflect aquatic ecosystem health. Remote sensing technology has been used to monitor plant distribution on a large scale. However, the fine identificat…
View article: Hierarchical Q-learning network for online simultaneous optimization of energy efficiency and battery life of the battery/ultracapacitor electric vehicle
Hierarchical Q-learning network for online simultaneous optimization of energy efficiency and battery life of the battery/ultracapacitor electric vehicle Open
View article: Distribution characteristics of phytoplankton functional groups and their relationship with environmental factors in Taihu Basin
Distribution characteristics of phytoplankton functional groups and their relationship with environmental factors in Taihu Basin Open
太湖流域地处长江下游,水系发达,是典型的平原水网地区,为明确空间和环境因子对太湖流域浮游植物功能类群分布的影响,本研究于2019年8—9月期间比较太湖流域包括河流、湖泊和水库的85个采样点的浮游植物、空间和环境特征. 首次利用"人工智能图像识别技术",并结合传统人工镜检,共鉴定浮游植物250个分类单位,隶属于9门13纲28目57科110属,以绿藻门(45.6%)、硅藻门(19.2%)和蓝藻门(16.4%)为主. 共划分功能类群31个,包括M、D、J、S1、C、Y、F、P、M…
View article: Research progress in the taxonomic identification of algae on the basis of molecular markers
Research progress in the taxonomic identification of algae on the basis of molecular markers Open
藻类鉴定被广泛应用于藻类遗传学、生理学、生态学和应用藻类学，尤其是藻类调查和评估.然而，基于形态学的鉴定往往因为分类特征未出现或不典型、设备限制和人员经验欠缺等原因带来较大误差.随着测序技术的不断发展，分子标记已成为藻类鉴定的一个通用工具.由于藻类类群众多且差异很大，分子标记的选择成为藻类鉴定的关键.本文综述了蓝藻、硅藻、绿藻、甲藻、裸藻、隐藻、金藻、黄藻、红藻和褐藻等主要门类分子标记的选择及应用进展，包括分子标记选择原则、常用标记和相应序列数据库，以及各个分子标记在不同类…
View article: Electric Vehicle Battery Remaining Charging Time Estimation Considering Charging Accuracy and Charging Profile Prediction
Electric Vehicle Battery Remaining Charging Time Estimation Considering Charging Accuracy and Charging Profile Prediction Open
Electric vehicles (EVs) have been growing rapidly in popularity in recent years and have become a future trend. It is an important aspect of user experience to know the Remaining Charging Time (RCT) of an EV with confidence. However, it is…
View article: A Cloud-Based Energy Management Strategy for Hybrid Electric City Bus Considering Real-Time Passenger Load Prediction
A Cloud-Based Energy Management Strategy for Hybrid Electric City Bus Considering Real-Time Passenger Load Prediction Open
Electric city bus gains popularity in recent years for its low greenhouse gas emission, low noise level, etc. Different from a passenger car, the weight of a city bus varies significantly with different amounts of onboard passengers. After…
View article: Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle
Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle Open
Propulsion system electrification revolution has been undergoing in the automotive industry. The electrified propulsion system improves energy efficiency and reduces the dependence on fossil fuel. However, the batteries of electric vehicle…
View article: Disintegration of Meatball Electrodes for LiNi x Mn y Co z O2 Cathode Materials
Disintegration of Meatball Electrodes for LiNi x Mn y Co z O2 Cathode Materials Open
View article: Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China
Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China Open
Understanding of the bacterial community structure in drinking water resources helps to enhance the security of municipal water supplies. In this study, bacterial communities were surveyed in water and sediment during a heavy cyanobacteria…