A novel way to calculate energy efficiency for rechargeable batteries

Kang, Jianqiang; Yan, Fuwu; Zhang, Pei; Du, Changqing

doi:10.1016/j.jpowsour.2012.01.105

Cited by 54 publications

(53 citation statements)

References 12 publications

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“…Kang et al [13] proposed a method to measure energy efficiency of battery cells under constant current (CC) charges or discharges. This method lies on the definition of the net energy of a cell as a function of OCV (open circuit voltage) and SoC.…”

Section: Methodsmentioning

confidence: 99%

“…Once OCV as a function of SoC is known, net energy is easily obtained by integration of current-OCV product (i · OCV ) whereas charge and discharge energy are obtained by integration of i · u charge and i · u discharge respectively. Finally, charge (discharge) energy efficiency is the relation between charge (discharge) energy and net energy [13,14].…”

Section: Methodsmentioning

confidence: 99%

“…In this work we analyze energy efficiency in a similar way to [13]. Unlike Kang's method we do not attempt to separate charge and discharge efficiencies because SIMCAL RPTs do not offer a reliable measure for OCV (absence of pseudo-OCV phase).…”

Section: Methodsmentioning

confidence: 99%

“…On the other hand, some authors dealt with energy efficiency on NiMH or lithium ion cells [3,13,14] and its dependence of current rate. But energy efficiency evolution throughout battery's lifespan is not often studied.…”

Section: Introductionmentioning

confidence: 99%

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Impact of battery ageing on e-mobility energy efficiency

Redondo-Iglesias

Venet

Pélissier

2017

2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER)

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impact of battery ageing on e-mobility energy efficiency

Redondo-Iglesias

Venet

Pélissier

2017

2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER)

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“…In modern railway applications, energy efficiency is also an important aspect used to estimate the performance of lithium ion batteries in recent studies [23][24][25][26], since higher efficiency means more energy savings and reduced costs. Determining how to optimize the battery usage strategy by improving the energy efficiency during the working process is the key issue for managing energy usage in modern railway applications.…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Learning-Based Continuous-Time Estimation and Simulation Method for Energy Efficiency and Coulombic Efficiency of Lithium Ion Batteries

et al. 2017

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Lithium ion (Li-ion) batteries work as the basic energy storage components in modern railway systems, hence estimating and improving battery efficiency is a critical issue in optimizing the energy usage strategy. However, it is difficult to estimate the efficiency of lithium ion batteries accurately since it varies continuously under working conditions and is unmeasurable via experiments. This paper offers a learning-based simulation method that employs experimental data to estimate the continuous-time energy efficiency and coulombic efficiency of lithium ion batteries, taking lithium titanate batteries as an example. The state of charge (SOC) regions and discharge current rates are considered as the main variables that may affect the efficiencies. Over eight million empirical datasets are collected during a series of experiments performed to investigate the efficiency variation. A back propagation (BP) neural network efficiency estimation and simulation model is proposed to estimate the continuous-time energy efficiency and coulombic efficiency. The empirical data collected in the experiments are used to train the BP network model, which reveals a test error of 10 −4 . With the input of continuous SOC regions and discharge currents, continuous-time efficiency can be estimated by the trained BP network model. The estimated and simulated result is proven to be consistent with the experimental results.

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Significantly Enhanced Electrochemical Redox for High‐Performance Electrochemical Capacitor via Active Ion‐Tunnel Oriented BaCoF₄ Electrodes

Guo

Xie

Wang

et al. 2021

Advanced Energy Materials

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Active plane and specific morphology with reduced particle sizes have long been considered a promising strategy to achieve superior electrochemical properties, but the active sites involved may not be sufficiently utilized or the surface atomic configurations may obscure the activity. Herein, a novel structural “active orientation” strategy is developed to overcome the aforementioned shortcomings and improve the efficiency at active sites. A transition‐metal fluoride BaCoF4 is well controlled to thin the dimensions along an active [31¯0] orientation through a sodium dodecyl benzene sulfonate assisted solution chemistry route. The active orientation facilitates the opening of the ionic pathways, for example, OH– in the electrolyte, to take full advantage of the redox activity of the electrochemically active Co2+/Co3+ cations in [31¯0]‐BaCoF4, resulting in significantly enhanced electrochemical redox performance. A high specific capacitance (692 F g−1 at 1 A g−1 in 6 m KOH electrolyte) is achieved owing to active‐tunnels orientation, ≈five‐fold higher compared to its bulk counterpart. Strikingly, the asymmetric electrochemical capacitor (AEC) fabricated with [31¯0]‐BaCoF4 and activated carbon exhibits an ultrahigh energy density of 147.7 Wh kg−1 at a power density of 1.025 kW kg−1 (also >100 Wh kg−1 at 5 kW kg−1), much higher than the majority of existing AEC systems.

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A novel way to calculate energy efficiency for rechargeable batteries

Cited by 54 publications

References 12 publications

Impact of battery ageing on e-mobility energy efficiency

Impact of battery ageing on e-mobility energy efficiency

A Data-Driven Learning-Based Continuous-Time Estimation and Simulation Method for Energy Efficiency and Coulombic Efficiency of Lithium Ion Batteries

Significantly Enhanced Electrochemical Redox for High‐Performance Electrochemical Capacitor via Active Ion‐Tunnel Oriented BaCoF₄ Electrodes

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A novel way to calculate energy efficiency for rechargeable batteries

Cited by 54 publications

References 12 publications

Impact of battery ageing on e-mobility energy efficiency

Impact of battery ageing on e-mobility energy efficiency

A Data-Driven Learning-Based Continuous-Time Estimation and Simulation Method for Energy Efficiency and Coulombic Efficiency of Lithium Ion Batteries

Significantly Enhanced Electrochemical Redox for High‐Performance Electrochemical Capacitor via Active Ion‐Tunnel Oriented BaCoF4 Electrodes

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Product

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Significantly Enhanced Electrochemical Redox for High‐Performance Electrochemical Capacitor via Active Ion‐Tunnel Oriented BaCoF₄ Electrodes