Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs

Hu, Xiaosong; Zou, Changfu; Zhang, Caiping; Li, Yang

doi:10.1109/mpe.2017.2708812

Cited by 439 publications

(151 citation statements)

References 5 publications

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“…Then, the behavior of M is as in Figure 16. In (8), the first term of the sum indicates the self-induced EMF, while the second term indicates the EMF induced by mutual coupling of the receiver coil with two transmitter coils. Thus, the total mutual inductance, representing the coupling of the receiver with both transmitters connected in parallel is M = M 13 + M 23 .…”

Section: Simulation and Experiments Resultsmentioning

confidence: 99%

“…Moreover, general public interest has motivated car manufacturers towards the development of various electric vehicles [2,5], such as battery electric vehicles (BEV), hybrid electric vehicles (HEV), fuel cell electric vehicles (FCEV), and fuel cell hybrid vehicles (FCHV) [6]. The development and improvement of battery storage systems as well as implementation of various techniques for the monitoring and control of battery states facilitates the attractiveness of EVs [7,8]. EV charging can be accomplished either using cables (wired) or wirelessly.…”

Section: Introductionmentioning

confidence: 99%

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Precise Analysis on Mutual Inductance Variation in Dynamic Wireless Charging of Electric Vehicle

et al. 2018

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Abstract:Wireless power transfer provides an opportunity to charge electric vehicles (EVs) without electrical cables. Two categories of this technique are distinguished: Stationary Wireless Charging (SWC) and Dynamic Wireless Charging (DWC) systems. Implementation of DWC is more desirable than SWC as it can potentially eliminate challenges associated with heavy weight batteries and time-consuming charging processes. However, power transfer efficiency and range, lateral misalignment of coils as well as implementation cost are issues affecting DWC. These issues need to be addressed through developing coil architectures and topologies as well as operating novel semiconductor switches at higher frequencies. This study presents a small-scale dynamic wireless power transfer system for EV. It specifically concentrates on analyzing the dynamic mutual inductance between the coils due to the misalignment as it has significant influence on the EV charging process, particularly, over the output power and overall efficiency. A simulation study is carried out to explore dynamic mutual inductance profile between the transmitter and receiver coils. Mutual inductance simulation results are then verified through practical measurements on fabricated coils. Integrating the practical results into the model, an EV DWC power transfer simulation is conducted and the relation between dynamic mutual inductance and output power are discussed technically.

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Section: Simulation and Experiments Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Precise Analysis on Mutual Inductance Variation in Dynamic Wireless Charging of Electric Vehicle

et al. 2018

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“…Let g(·) be a convex function where g(0) = 0. Let r 1 , r 2 , r 3 be positive real numbers, which satisfy that r 1 + r 2 − r 3 ≥ 0, and r i ≤ r 1 + r 2 − r 3 , ∀i ∈ [1,2,3]. Then…”

Section: A Single Step Change Convexitymentioning

confidence: 99%

“…Plenty of energy storage technologies have been developed to serve different applications, such as pumped hydro-power, compressed air energy storage, batteries, flywheels and many more [2]. Among these different technologies, battery energy storage (BES) (e.g., lithium-ion batteries) features quick response time, high round-trip efficiency, pollution-free operation, and flexible power/energy ratings [3]. These characteristics make it an ideal choice for a wide range of power system applications, including integration of renewable resources [4], grid frequency regulation [5] and behind-the-meter load management of commercial and residential users [6].…”

Section: Introductionmentioning

confidence: 99%

Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings

Shi

Tan

et al. 2019

IEEE Trans. Automat. Contr.

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We study the optimal control of battery energy storage under a general "pay-for-performance" setup such as providing frequency regulation and renewable integration. In these settings, batteries need to carefully balance the trade-off between following the instruction signals and their degradation costs in real-time. Existing battery control strategies either do not consider the uncertainty of future signals, or cannot accurately account for battery cycle aging mechanism during operation. In this work, we take a different approach to the optimal battery control problem. Instead of attacking the complexity of battery degradation function or the lack of future information one at a time, we address these two challenges together in a joint fashion. In particular, we present an electrochemically accurate and trackable battery degradation model called the rainflow cyclebased model. We prove the degradation cost is convex. Then we propose an online control policy with a simple threshold structure and show it achieve near-optimal performance with respect to an offline controller that has complete future information. We explicitly characterize the optimality gap and show it is independent to the duration of operation. Simulation results with both synthetic and real regulation traces are conducted to illustrate the theoretical results.

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“…In particular, the battery-based ESS is usually used [3][4][5][6]. There are a lot of studies carried out to store energy into battery efficiently [7][8][9]. The ESS in a DG system based on RES plays various roles [10,11].…”

Section: Introductionmentioning

confidence: 99%

Implementation of a Smart Power Conditioning System for Energy Storage System with a Novel Seamless Transfer Strategy

Kim

et al. 2018

Energies

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Implementation of a smart power conditioning system with a novel seamless transfer method for an energy storage system (ESS) was proposed in this paper. The power conditioning system is to control the power quality or protect the grid system. Therefore, it requires various functions. One of the these functions, the uninterruptible power supply (UPS) function, was applied to proposed power conditioning system. In order for the grid-interactive power conditioning system to continuously supply power to the load, two operation modes are required depending on the grid state. One is the grid connected (GC) mode and the other is the stand-alone (SA) mode. Under normal grid condition, the power conditioning system is operated in GC mode and controls the current. On the other hand, under abnormal grid conditions such as grid outage, the power conditioning system operates in SA mode and supplies power to the load. Unintentional sudden changes in operating mode cause unwanted phenomena (e.g., voltage/current spike, inrush current) which can make system degradation or failure. To improve this situation, the seamless transfer function became necessary. In this paper, by adding seamless function to power conditioning system, it is possible to supply power to the load stably regardless of grid state. In addition, it is possible to prevent secondary accident and to operate stably even if non-detection zone condition occurs by using an active frequency method. The proposed control algorithm was verified through field experiments.

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Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs

Cited by 439 publications

References 5 publications

Precise Analysis on Mutual Inductance Variation in Dynamic Wireless Charging of Electric Vehicle

Precise Analysis on Mutual Inductance Variation in Dynamic Wireless Charging of Electric Vehicle

Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings

Implementation of a Smart Power Conditioning System for Energy Storage System with a Novel Seamless Transfer Strategy

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