A New State of Charge Estimation Method for LiFePO4 Battery Packs Used in Robots

Chang, Ming Chau; Huang, Han‐Pang; Chang, Shu‐Wen

doi:10.3390/en6042007

Cited by 36 publications

(29 citation statements)

References 24 publications

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“…For LiFePo4 battery used in this experiment, η > 0.994 under room temperature [11]; according to the manufacturer, the 110 battery self-discharging rate is less than 5% per month. Therefore, η = 1 and [13].…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

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An integrated approach for real-time model-based state-of-charge estimation of lithium-ion batteries

Zhang

Pei

et al. 2015

Journal of Power Sources

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General rights Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT

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Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

“…Higher SOC estimation accuracy can also be achieved by using a more detailed battery model, such as by taking into consideration of 490 the temperature effect and the rate-dependent columbic efficiency [11], which are however not considered in this paper.…”

mentioning

confidence: 99%

An integrated approach for real-time model-based state-of-charge estimation of lithium-ion batteries

Zhang

Pei

et al. 2015

Journal of Power Sources

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“…Within [45], the authors discuss the challenge of quantifying energy capacity for a complete 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 14 module assembly or battery pack, taking into account cell-to-cell variations [46] and the unmeasurable current flows that may occur within the battery module when cells are connected electrically in parallel [47]. A comprehensive review of different capacity (and thus SOC) estimation methods for inclusion within the BMS is presented within [3,48].…”

Section: Review Of Academic Literaturementioning

confidence: 99%

Accelerated energy capacity measurement of lithium-ion cells to support future circular economy strategies for electric vehicles

Groenewald

Grandjean

Marco

2017

Renewable and Sustainable Energy Reviews

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Within the academic and industrial communities there has been an increasing desire to better understand the sustainability of producing vehicles that contain embedded electrochemical energy storage. Underpinning a number of studies that evaluate different circular economy strategies for the electric vehicle (EV) or Hybrid electric vehicle (HEV) battery system are implicit assumptions about the retained capacity or State of Health (SOH) of the battery. International standards and best-practice guides exist that address the performance evaluation of both EV and HEV battery systems. However, a common theme is that the test duration can be excessive and last for a number of hours. The aim of this research is to assess whether energy capacity measurements of Li-ion cells can be accelerated; reducing the test duration to a value that may facilitate further EOL options. Experimental results are presented that highlight it is possible to significantly reduce the duration of the battery characterisation test by 70% -90% while still retaining levels of measurement accuracy for retained energy capacity in the order of 1% for cell temperatures equal to 25 0 C. Even at elevated temperatures of 40 0 C, the peak measurement error was found to be only 3%. Based on these experimental results, a simple cost-function is formulated to highlight the flexibility of the proposed test framework. This approach would allow different organizations to prioritize the relative importance of test accuracy verses experimental test time when grading used Li-ion cells for different end-of-life (EOL) applications.

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“…Battery capacity is a measure of battery's capability for sustained discharge of the current over certain period of time [1]. SOC is an alternative representation of the battery capacity.…”

Section: State Of Charge (Soc) Of a Batterymentioning

confidence: 99%

“…Over the next decade, due to the increasing concern over global warming and fossil fuel depletion [1], the electric and hybrid electric technology powered by lithium batteries is expected to become more common. However, some challenges still remain unresolved, the state of charge estimation being the most notable one, which provides information about the vehicle's range capability to the driver.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study on SOC Estimation Techniques for Optimal Battery Sizing for Hybrid Vehicles

Shreya¹

2015

IJRITCC

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Abstract-Automotive Industry is growing at a very fast rate. Hence problems pertaining to the increasing CO2 levels in the atmosphere and the ever increasing fuel rates also increase. Electric and Hybrid electric technology has become the latest milestone for the automotive industry. In Hybrid Electric Vehicles (HEV), the reliable range of operation is characterized by batteries and battery state of charge (SOC), that describes its remaining capacity, is an important factor for providing the control strategy for the battery management system (BMS) in plug-in hybrid electric vehicles (PHEV) and electric vehicles (EV). Accuracy in estimation of the SOC is necessary not only to protect the battery, prevent it's over discharge, and improve the battery life but also to allow the application to make rational control strategies to save energy. However, the chemical energy of a battery which is a chemical energy storage source cannot be directly accessed and this issue makes the estimation of the SOC of a battery difficult. Hence, estimation of the SOC accurately becomes very complex and is difficult to implement, as there are parametric uncertainties and the battery models are limited. In fact, in practice several examples of models of the estimation of the SOC are found which have poor accuracy and reliability. Hence a comparative study done in this paper on the various methods will help choose the right method based on the requirements and the application. This paper also reviews a case study on modeling and simulation of one of the methods of SOC estimation and efforts have been put in obtaining the performance of Li-ion batteries by calculating the SOC using Coulomb counting method in MATLAB Simulink. Keywords-State

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A New State of Charge Estimation Method for LiFePO4 Battery Packs Used in Robots

Cited by 36 publications

References 24 publications

An integrated approach for real-time model-based state-of-charge estimation of lithium-ion batteries

An integrated approach for real-time model-based state-of-charge estimation of lithium-ion batteries

Accelerated energy capacity measurement of lithium-ion cells to support future circular economy strategies for electric vehicles

Comparative Study on SOC Estimation Techniques for Optimal Battery Sizing for Hybrid Vehicles

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