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Yin tang intelligent control energy storage


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Jiateng YIN | Beijing Jiaotong University, Beijing | NJTU | State

Current research in automatic train operation concentrates on optimizing an energy-efficient speed profile and designing control algorithms to track the speed profile, which may reduce the...

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Journal of Energy Storage | Vol 52, Part B, 15 August 2022

Read the latest articles of Journal of Energy Storage at ScienceDirect , Elsevier''s leading platform of peer-reviewed scholarly literature select article Intelligent fuzzy control strategy for battery energy storage system considering frequency support, SoC management, and C-rate protection Yin Qiao, Ren Hao Xu, Muslum Demir

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Review of intelligent energy management techniques for hybrid

Cohen, I.J., et al., [101] presented a method that employs fuzzy logic control (FLC) to manage the hybrid energy storage system (HESS). Nevertheless, this method overlooks a crucial aspect, namely, the state of charge (SOC) of energy storage devices.

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Intricate Hollow Structures: Controlled Synthesis and Applications

Intricate Hollow Structures: Controlled Synthesis and Applications in Energy Storage and Conversion. Liang Zhou, Here, the recent advances in the controlled synthesis are discussed, as well as applications of intricate hollow structures with regard to energy storage and conversion. The synthetic strategies toward complex multishelled hollow

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A Survey of Battery–Supercapacitor Hybrid Energy Storage

A hybrid energy-storage system (HESS), which fully utilizes the durability of energy-oriented storage devices and the rapidity of power-oriented storage devices, is an efficient solution to managing energy and power legitimately and symmetrically. Hence, research into these systems is drawing more attention with substantial findings. A battery–supercapacitor

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What are the different types of energy storage systems?

Classification of different energy storage systems. The generation of world electricity is mainly depending on mechanical storage systems (MSSs). Three types of MSSs exist, namely, flywheel energy storage (FES), pumped hydro storage (PHS) and compressed air energy storage (CAES).

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What are hybrid energy storage systems?

Hybrid storage system combinations based on near-term and long-term aspects. For the EVs propulsion energy storage system, the existing development of ESSs is acceptable. It also reduces oil demand and subsequently reduces CO 2 emissions. With the technological changes and improvements, ESSs are continually maturing.

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(PDF) Energy Management System and Control Strategy of Intelligent

This thesis studies the development of the energy management system and control strategy of intelligent connected new energy vehicles and discusses the core techniques of the energy management

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A unified time scale intelligent control algorithm for micro grid

Since micro grids cannot rely on traditional multi-time scale control strategies to ensure the high-quality frequency stability control and economic dispatch in the same time

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Optimal fuzzy logic based energy management strategy of battery

The main purpose of this paper is to describe a novel power management control strategy for battery and supercapacitor hybrid energy storage system with the objective that the load power demand would be distributed into the energy storage devices in a way that each device can be utilized optimally. The paper describes the design and control of such an

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Relaxed deep learning for real-time economic generation

DOI: 10.1016/J.ENERGY.2018.01.165 Corpus ID: 117666410; Relaxed deep learning for real-time economic generation dispatch and control with unified time scale @article{Yin2018RelaxedDL, title={Relaxed deep learning for real-time economic generation dispatch and control with unified time scale}, author={Linfei Yin and Tao Yu and Xiaoshun

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Hierarchical energy management strategy based on adaptive

Semantic Scholar extracted view of "Hierarchical energy management strategy based on adaptive dynamic programming for hybrid electric vehicles in car-following scenarios" by Wenbin Tang et al.

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Bistable and Multistable Actuators for Soft Robots: Structures

soft grippers that can passively hold an object without energy input, but also the capability of storing bit information ("0" or "1") via the binary state without requiring the power to retain either state. Such a reversible binary switch can be used as soft mechanical logic gates for data storage, mechanical logic com-

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Fuzzy vector reinforcement learning algorithm for generation control

Zhao P., Wang M., Wang J., Dai Y., A preliminary dynamic behaviors analysis of a hybrid energy storage system based on adiabatic compressed air energy storage and flywheel energy storage system for wind power application, Energy 84 (2015) 825–839.

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‪Jiateng Yin‬

Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach. J Yin, T Tang, L Yang, Z Gao, B Ran. Transportation Research Part B S Su, X Wang, Y Cao, J Yin. IEEE Transactions on Intelligent Transportation Systems 21 (10), 4252-4268, 2019. 291: 2019: Intelligent train

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Multiscale Construction of Bifunctional Electrocatalysts for Long

Zinc–air batteries deliver great potential as emerging energy storage systems but suffer from sluggish kinetics of the cathode oxygen redox reactions that render unsatisfactory cycling lifespan. The exploration on bifunctional electrocatalysts for oxygen reduction and evolution constitutes a key solution, where rational design strategies to

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Coordinated Control Strategy of Railway Multisource Traction

Two-Stage Intrusion Detection System in Intelligent Transportation Systems Using Rule Extraction Methods From Deep Neural Networks S. Su, X. Wang, Y. Cao, and J. Yin, "An energy-efficient train operation approach by integrating the metro D. Fletcher, and R. Harrison, "Optimal control and energy storage for DC electric train systems

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A Cooperative Train Control Model for Energy Saving

A cooperative train control model is formulated to adjust the departure time of the accelerating train for reducing the practical energy consumption during the trip by efficiently using the regenerative energy of the braking train. Increasing attention is being paid to energy efficiency in subway systems to reduce operational cost and carbon emissions. Optimization of the

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Model predictive control for thermal energy storage and thermal

The cold energy storage in the central air-conditioning system is usually stored in the form of ice, chilled water, phase change materials (PCMs) or eutectic solution [20], [21]. Compared with the studies conducted for the optimal control of cold thermal storage during DR events (i.e., day ahead or hours ahead), the studies for the fast DR

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Shuai SU | Associated professor Beijing Jiaotong University | PhD

Shuai SU, Associated professor Beijing Jiaotong University | Cited by 2,274 | of Beijing Jiaotong University, Beijing (NJTU) | Read 102 publications | Contact Shuai SU

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What role do energy storage systems play in end-user electrification?

In the meantime, energy storage systems (ESSs) have also been playing a key role in end-user electrification. This is evident from the proactive penetration of battery-powered electrical vehicles (EVs) in pursuit of an efficient and low-carbon society.

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Intelligent Management and Control of Energy Storage Systems

Energy storage systems can regulate energy, improve the reliability of the power system and enhance the transient stability. This paper determines the optimal capacities of

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Progress and perspectives in dielectric energy storage ceramics

Dielectric ceramic capacitors, with the advantages of high power density, fast charge-discharge capability, excellent fatigue endurance, and good high temperature stability, have been acknowledged to be promising candidates for solid-state pulse power systems. This review investigates the energy storage performances of linear dielectric, relaxor ferroelectric,

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Coordinated control of wind turbine and hybrid energy storage

Due to the inherent fluctuation, wind power integration into the large-scale grid brings instability and other safety risks. In this study by using a multi-agent deep reinforcement learning, a new coordinated control strategy of a wind turbine (WT) and a hybrid energy storage system (HESS) is proposed for the purpose of wind power smoothing, where the HESS is

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Energy-Efficient Train Timetable Optimization in the Subway

With this consideration, this paper particularly investigates a train timetable problem in a subway system, which is equipped with a series of energy storage devices at

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Energy Management Strategy Based on Model Predictive Control

This paper addresses challenges related to the short service life and low efficiency of hybrid energy storage systems. A semiactive hybrid energy storage system with an ultracapacitor and a direct current (DC) bus directly connected in parallel is constructed first, and then related models are established for the lithium-ion battery, system loss, and DC bus.

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‪Huan Yin‬

2018 IEEE Intelligent Vehicles Symposium (IV), 728-733 L Tang, H Yin, L Zhao. IEEE Transactions on Intelligent Transportation Systems 21 (11), 4646-4658, 2019. 26: 2019: Improved approximate dynamic programming for real-time economic dispatch of integrated microgrids Energy 255, 124513, 2022. 24: 2022: Deep samplable observation model

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[PDF] Cooperative control of high-speed trains for headway

@article{Xun2019CooperativeCO, title={Cooperative control of high-speed trains for headway regulation: A self-triggered model predictive control based approach}, author={Jing Xun and Jiateng Yin and Ronghui Liu and Fan Liu and Yang Zhou and Tao Tang}, journal={Transportation Research Part C: Emerging Technologies}, year={2019},

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The Proceedings of the 5th International Conference on Energy Storage

The papers share the latest findings in energy storage and intelligent vehicles, making the book a valuable asset for researchers, engineers, university students, etc. Field-Oriented Control Strategy Verification Based on Power Jiale Xie, Hongpeng Yin et al. Pages 107-118. Download chapter PDF Estimation of Battery State Based on

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About Yin tang intelligent control energy storage

About Yin tang intelligent control energy storage

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