Yujie Wang

Yujie Wang
University of Science and Technology of China | USTC · Department of Automation

PhD

About

122
Publications
21,203
Reads
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3,736
Citations
Citations since 2017
105 Research Items
3595 Citations
201720182019202020212022202302004006008001,0001,200
201720182019202020212022202302004006008001,0001,200
201720182019202020212022202302004006008001,0001,200
201720182019202020212022202302004006008001,0001,200
Additional affiliations
July 2017 - January 2020
University of Science and Technology of China
Position
  • PostDoc Position
September 2012 - September 2017
University of Science and Technology of China
Position
  • PhD Student

Publications

Publications (122)
Article
The hybrid energy storage system is a kind of complex system including state coupling, input coupling, environmental sensitivity, life degradation, and other characteristics. How to accurately estimate the internal state of the system, delay the battery life degradation, realize the coordinated and optimized control of power and energy have become...
Article
With the rapid development of new energy electric vehicles and smart grids, the demand for batteries is increasing. The battery management system (BMS) plays a crucial role in the battery-powered energy storage system. This paper presents a systematic review of the most commonly used battery modeling and state estimation approaches for BMSs. The mo...
Article
Nowadays the wave of digital economy has swept the world, and the competition in the field of battery management has become increasingly vigorous. The application of digital twin technology gives a new concept of networked management and service of lithium-ion batteries. In this paper, the digital twin technology and cloud-side-end collaboration fo...
Article
The pressure of energy crisis and environmental protection has fueled the rapid development of electric vehicles. The lithium-ion batteries are widely used in electric vehicles because of their advantages such as low self-discharge rate, high energy density, and environmental friendliness, etc. Nevertheless, low-temperature environments greatly red...
Article
Considering the increasingly serious environmental pollution and energy crisis, new energy electric vehicles have good application prospects in future transportation. The lithium-ion battery is a kind of energy storage device widely used in electric vehicles. An efficient and optimal charging strategy is the premise of its extensive use. In this pa...
Article
Precise health prognosis is essential to guarantee e�cient and safe battery operation. However, the non-invasive analysis of the microscopic aging mechanism of batteries has always been a challenge. To address this problem, a macro-micro non-invasive health prognosis method for lithium-ion batteries is proposed based on aging mechanisms migration i...
Article
Lithium-ion batteries are widely used in electronics, new energy electric vehicles and energy storage plants. They have become ideal energy storage devices for their excellent characteristics of high energy density, low self-discharge rate, low carbon and environmental protection. Thus, research on lithium-ion batteries has wide scientific and engi...
Article
The large-scale grouping of the battery system leads to the inconsistency of the battery pack. Aiming at tacking this issue, an inconsistency evaluation method is deployed for the battery pack based on an improved Gaussian mixture model (GMM) and feature fusion approach. Specifically, the proposed adaptive forgetting factor recursive least squares...
Article
The hybrid system containing the fuel cell and energy storage sources contributes to realizing hydrogen energy in road traffic applications. It is meaningful to evaluate the different forms of system topology. In this work, the quantitative comparison of topologies and sensitivity analysis of system parameters are conducted. Firstly, the output cha...
Article
Accurate estimation of state of health (SOH) in the battery management system furnishes powerful support for ensuring safe and reliable operation of lithium-ion batteries. Data-based neural networks have progressively developed into the most representative solution of SOH estimation. This paper systematically compares three typical neural networks...
Article
Full-text available
With the development of the global economy, the automobile industry is also developing constantly. In recent years, due to the shortage of environmental energy and other problems, seeking clean energy as the power source of vehicles to replace traditional fossil energy could be one of the measures to reduce environmental pollution. Among them, fuel...
Article
Energy management strategy (EMS) of hybrid energy storage systems has an essential mission of ensuring safety, enhancing reliability and improving system efficiency. This paper focuses on optimizing sizing of HESS and parameters of EMS simultaneously. Firstly, an improved model is employed in adaptive predictive model control (AMPC). Secondly, in o...
Article
With the continuous advancement and exploration of science and technology, the future trend of energy technology will be the deep integration of digitization, networking, intelligence with energy applications. The increasing maturity of digital technologies, such as the Internet of Things, Big Data, and cloud computing, has given rise to the creati...
Article
Dear editor, This letter presents battery full life cycle management and health prognosis based on cloud service and broad learning. Specifically, a cloud-based framework for battery full life cycle management is presented. Then, the broad learning method is proposed for battery state-of-health (SOH) prediction. The features of charging data includ...
Chapter
Full-text available
This chapter focuses on the data science technologies for battery operation management, which is another key and intermediate process in the full-lifespan of battery. After manufacturing, battery would be operated in various applications such as transportation electrification, stationary energy storage, and smart grid to supply or absorb the power,...
Chapter
Full-text available
As one of the most promising alternatives to effectively bypass fossil fuels and promote net-zero carbon emission target around the world, rechargeable lithium-ion (Li-ion) batteries have become a mainstream energy storage technology in numerous important applications such as electric vehicles, renewable energy storage, and smart grid. However, Li-...
Research Proposal
Full-text available
SI: Hybrid Energy Storage Systems: Materials, Devices, Modeling, and Applications
Article
With the increased applications of lithium-ion batteries in energy storage systems and electric vehicles, there is a growing demand for battery energy storage systems and management systems. Considering that the temperature especially internal temperature significantly can affect the performance and safety of the battery, a triple-objective optimiz...
Article
With the in-depth study of electrochemical models, the use of reduced-order electrochemical models on battery management systems becomes a possible future trend. In this paper, a two-step parameter identification method and the square-root cubature Kalman filter are employed. The pseudo-spectral method is used to solve the solid-phase diffusion equ...
Article
With the in-depth study of electrochemical models, the use of reduced-order electrochemical models on battery management systems becomes a possible future trend. In this paper, a two-step parameter identification method and the square-root cubature Kalman filter are employed. The pseudo-spectral method is used to solve the solid-phase diffusion equ...
Article
Accurate state estimation is crucial to the control and management for the hybrid energy storage system (HESS). Although there have been many studies on state estimation of the Lithium-ion batteries (LIBs) and ultracapacitors (UCs), state estimation for HESS is scarce and poorly defined. To fill this gap, this paper aims to propose a co-estimation...
Article
In recent years, the rapid development of electric vehicles has raised a wave of innovation in lithium-ion batteries. The safety operation of lithium-ion batteries is one of the major bottlenecks restraining the development of the energy storage market. The temperature especially the internal temperature can significantly affect the performance and...
Chapter
Full-text available
As a classical electrochemical component, Li-ion battery ages with time, losing its capacity to store charge and deliver it efficiently. In order to ensure battery safety and high performance, it is vital to design and imply a series of management targets during its full-lifespan. This chapter will first offer the concept and give a systematic fram...
Chapter
Full-text available
Although great efforts have been made in developing data science technology for benefitting full-lifespan management of Li-ion batteries, many knowledge gaps still exist. This chapter summarizes these challenges, future trends, and promising solutions to boost the development of data science solutions in the management of battery manufacturing, ope...
Chapter
Full-text available
This chapter focuses on the data science-based technologies for battery reutilization management, which is the third stage of battery full-lifespan and crucial for the sustainable development of batteries. Battery reutilization mainly includes battery echelon utilization (secondary utilization) and material recycling. During the long-term service o...
Chapter
Full-text available
This chapter focuses on the data science-based management for another three key parts during battery operations including the battery ageing/lifetime prognostics, battery fault diagnosis, and battery charging. For these three key parts, their fundamentals are first given, followed by the case studies of deriving various data science-based solutions...
Chapter
Full-text available
This chapter focuses on the data science technologies for battery manufacturing management, which is a key process in the early lifespan of battery. As a complicated and long process, the battery manufacturing line generally consists of numerous intermediate stages involving strongly coupled interdependency, which would directly determine the perfo...
Article
Accurate state of health (SOH) estimation of lithium-ion batteries provides scientific basis for secure operation and stepwise utilization in on-board powertrain. However, the variable discharge depths inevitably reduce the elasticity and precision of the estimation method in prevalent partial discharge situations. In this work, multiple candidate...
Research Proposal
Full-text available
Information intelligence and control in the energy sector are urgent research directions, especially for new energy storage or generation devices in low carbon applications such as transportations and smart grids. For example, the electrification of low-carbon transportation is accelerating, and there are increasingly hybrid applications of batteri...
Article
Sizing optimization and energy management strategy (EMS) are two key points for the application of the hybrid energy storage system (HESS) in electric vehicles. This paper aims to conduct the sizing optimization of HESS and apply an adaptive real-time EMS for practice. Firstly, considering the system cost and battery lifespan, the multi-objective g...
Article
Full-text available
The demands for energy storage systems and energy management systems are increasing with the development of modern electric vehicles. The battery management technology is the basis and key to ensure vehicle safety and prolong the battery life of electrified vehicles. One of the technical bottlenecks in battery management technology is the state est...
Article
Full-text available
The reliable assessment of battery degradation is fundamental for safe and efficient battery utilization. As an important in situ health diagnostic method, the incremental capacity (IC) analysis relies highly on the low-noise constant-current profiles, which violates the real-life scenarios. Here, a model-free fitting process is reported, for the f...
Article
Lithium-ion battery is a complex thermoelectric coupling system, which has complicated internal reactions. It is difficult to investigate the aging mechanism due to the lack of direct observation of side reaction. In response, a method of aging mode identification based on open-circuit voltage matching analysis is proposed in this work. Firstly, th...
Article
Lithium-ion battery is a complex thermoelectric coupling system. In order to understand its internal mechanism, it is necessary to build an accurate electrochemical model, which can be used for state estimation, life prediction, fault diagnosis. However, many stress factors affect the electrochemical reaction of the battery. The key to establishing...
Article
In recent years, with the promotion of new energy vehicles and micro-grids, energy storage technology has achieved considerable development. The hybridization of the lithium-ion batteries with ultra-capacitors can effectively improve the power capability of the energy storage system, which is suitable for the vehicle and micro-grid applications. Hi...
Article
The proton exchange membrane fuel cell has been widely used for industrial systems; however, its performance gradually degrades during use. Therefore, the study on the performance degradation prediction of fuel cells is helpful to extend its lifespan. In this paper, a novel hybrid approach using a combination of model-based adaptive Kalman filter a...
Article
Battery prognostics and health management (PHM) are essential for lithium-ion batteries in electric vehicles. In the battery PHM, accurate estimation of the battery state of health (SOH) and prediction of the remaining useful life (RUL) are crucial to ensure safe and efficient battery operation. This paper presents a probabilistic method for the ba...
Article
In recent years, with the promotion of new energy vehicles and micro-grids, energy storage technology has achieved considerable development. The hybridization of the lithium-ion batteries with ultra-capacitors can effectively improve the power capability of the energy storage system, which is suitable for the vehicle and micro-grid applications. Hi...
Article
Sensor fault diagnosis is a crucial technology for the battery management system. In this work, a sensor fault diagnosis scheme is proposed for the battery pack using equivalent models and particle filters. The thermal and electrical models of the battery pack are developed based on the Thevenin equivalent circuit model and the radial equivalent th...
Article
The durability of proton exchange membrane fuel cell is worse than the traditional power generation system, which restricts its commercial applications. Accurate state of health of fuel cell play an important role in ensuring its long-life operation and minimizing maintenance costs. This paper focuses on health forecasting based on electrochemical...
Article
Management strategy of the hybrid energy storage system (HESS) is a crucial part of the electric vehicles, which can ensure the safety and efficiency of the electric drive system. The adaptive model predictive control (AMPC) is employed to the management strategy for the HESS in this paper. Firstly, an improved continuous power-energy method is app...
Article
The fuel cell hybrid electric vehicles have received widespread attention in recent years due to their zero-emission and long mileage. However, the durability of the fuel cell declines rapidly under frequent start and stop and power fluctuation. The fuel efficiency of the power system is affected by the power allocation strategy. For low hydrogen c...
Article
In order to improve the safety and reliability of proton exchange membrane fuel cell system, this paper proposes a novel robust fault observer for the fault diagnosis and reconstruction of the PEMFC air management system. First, considering the complexity and large computation of the nonlinear PEMFC system, a linear parameter-varying (LPV) model is...
Article
Consistency is an essential factor affecting the operation of lithium-ion battery packs. Pack consistency evaluation is of considerable significance to the usage of batteries. Many existing methods are limited for they are based on a single feature or can only be implemented offline. This paper develops a comprehensive method to evaluate the pack c...
Article
In recent years, hybrid energy storage systems have been widely used in electric vehicle and smart grid applications. Real-time and robust modeling and state estimation are essential to the reliable and safe operation of the hybrid energy storage system. Although there exists a considerable mass of research on the modeling and state estimation of t...
Article
As a typical complex system, the lithium-ion battery system is characterized by strong coupling and nonlinearity, which brings great challenges to its modeling, state estimation, and control. The modeling and state estimation especially the state-of-charge and remaining discharge time are key issues for the battery management system. This paper det...
Article
The proton exchange membrane fuel cell is a good candidate for the future green transportation. In the vehicle applications, the fuel cell systems are always grouped with other energy storage devices such as the lithium-ion batteries and ultracapacitors in order to enhance their dynamic performance. The energy management strategy, especially the po...
Article
The proton exchange membrane fuel cell has become the most widely used fuel cell in fuel cell vehicles. An effective and accurate control approach for its air supply system is crucial to ensure the performance and safety of the fuel cell system. In order to ensure safe and efficient operation of the air supply, this paper provides a novel modeling...
Article
The fuel cells have high potential and superiority in future green transportations. The hybridization of the fuel cells with other energy storage devices such as the lithium-ion batteries and supercapacitors provides an effective way to alleviate the burden and prolong the lifespan of the fuel cells. The designs of topology and management strategy...
Article
In recent years, fuel cell vehicles have attracted attention for their zero emission and environmental friendship. The sole fuel cell system cannot satisfy the dramatical change of motor power demands. In addition, the power fluctuations will damage the fuel cell stacks and shorten the cycle life of fuel cells. Therefore fuel cell systems are alway...
Article
The fuel cell hybrid vehicle provides an efficient and low-emission alternative for the internal combustion engine vehicle. The energy management strategy (EMS) commands the power split between the power sources and is crucial to the hybrid vehicles. In this work, we propose an adaptive EMS based on Pontryagin’s Minimal Principle for a fuel cell/ba...
Article
Uncertainties of cell temperature and aging are two challenges for the power management of battery-integrated systems. To evaluate the maximum power capability of batteries with uncertain degree of degradation and internal temperature, a temperature-compensated battery model is first established as a base model in this paper. Then the linear migrat...
Article
Energy management is crucial in battery/ultracapacitor hybrid energy storage systems in electric vehicles. Rule based control is one typical strategy in real-time management, but its adaptability in dynamic load is quite poor. This paper aims to develop a practical energy management strategy with near-optimal performance in both energy-saving and b...
Article
Lithium iron phosphate battery packs are widely employed for energy storage in electrified vehicles and power grids. However, their flat voltage curves rendering the weakly observable state of charge are a critical stumbling block for charge equalization management. This paper focuses on real-time active balancing of series-connected lithium iron p...
Article
The proton exchange membrane fuel cell has become a good candidate for the power source of future green transportations due to its excellent performance of high efficiency and cleanness. To overcome the slow dynamic characteristic, the fuel cells are always grouped with other energy storage devices such as lithium-ion batteries and supercapacitors....
Article
In recent years, the fuel cell electric vehicles have been attracting attentions for their zero emission of greenhouse gases. In the vehicle applications the most promising fuel cell is the polymer electrolyte membrane (PEM) fuel cell because of its relatively small size, lightweight nature, and low reaction temperature. However, a pure fuel cell v...
Conference Paper
Full-text available
Abstract: In this paper, a light-weighted state of charge (SoC) estimation method is proposed. A novel proportional-integral-delta structure is proposed to improve the noise-rejection performance. Experimental results show that the proposed algorithm can achieve a 4% accuracy with the presence of 50mV voltage measurement noise, while its computatio...
Article
Keywords: Lithium-ion batteries Battery management system Model migration Bayes Monte Carlo method A B S T R A C T Temperature and cell aging are two major factors that influence the reliability and safety of Li-ion batteries. A general battery model considering both temperature and degradation is often difficult to develop, given the fact that the...
Article
The condition monitoring and fault diagnosis of the lithium-ion battery system are crucial issues for electric vehicles. The shocks, blows, twists, and vibrations during the electric vehicle driving process may cause the insulation fault. In order to ensure the safety of the drivers and passengers, a real-time monitor to detect the insulation state...
Article
The condition monitoring and fault diagnosis of the lithium-ion battery system are crucial issues for electric vehicles. The shocks, blows, twists, and vibrations during the electric vehicle driving process may cause the insulation fault. In order to ensure the safety of the drivers and passengers, a real-time monitor to detect the insulation state...
Article
Keywords: Hybrid energy storage system Lithium-ion battery Degradation model State of health prediction Remaining useful life prediction a b s t r a c t Lithium-ion battery/ultracapacitor hybrid energy storage system is capable of extending the cycle life and power capability of battery, which has attracted growing attention. To fulfill the goal of...
Conference Paper
The power management especially the power distribution strategy of the multi-sources energy system is an important issue. This paper presents a comparative study of power distribution strategies for the fuel cell and supercapacitor hybrid power source system. Two types of power distribution strategies have been put forward and compared systematical...
Article
Lithium-ion batteries have been widely used in many fields. The state-of-health is necessary and important for battery performance evaluation and lifetime prediction. A reliable state-of-health estimation is essential to help batteries work in a safe and suitable condition. In this paper, a novel state-of-health estimation approach is proposed for l...
Article
Full-text available
District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the f...
Article
Explicit analyses of power capability with multiple constraints are elaborated. • The extended Kalman filter is employed for on-board power capability prediction. • The detailed prediction process and implementations are graphically displayed. • The power capability is quantitatively assessed under dynamic loading schedules. • The maximum charge/di...
Article
Explicit analyses of power capability with multiple constraints are elaborated. • The extended Kalman filter is employed for on-board power capability prediction. • The detailed prediction process and implementations are graphically displayed. • The power capability is quantitatively assessed under dynamic loading schedules. • The maximum charge/di...
Article
Due to the energy crisis and environmental pollution, electric vehicles have become more and more popular. Compared to traditional fuel vehicles, the electric vehicles are integrated with more high-voltage components, which have potential security risks of insulation. The insulation resistance between the chassis and the direct current bus of the b...