Probabilistic Battery Design Based upon Accelerated Life Tests

Chiodo, E.; Lauria, D.; Andrenacci, Natascia; Pede, G.

doi:10.1007/s40903-016-0054-9

Cited by 9 publications

(5 citation statements)

References 30 publications

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“…Their paper presents a tool for estimating the energy and charging demand of electrified public transit using public data that are available in over 150 cities/states globally and they apply the tool in two case studies. Some economic aspects are, to some extent, detailed in a few papers: as discussed by [30,31] there is uncertainty associated with battery price estimates, due to differing battery chemistries, expected length of life, and the purchasing/leasing agreement between bus manufacturers and operators.…”

Section: Literature Reviewmentioning

confidence: 99%

Electrifying Buses for Public Transport: Boundaries with a Performance Analysis Based on Method and Experience

Dalla Chiara,

Pede,

Deflorio

et al. 2023

Sustainability

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It is widely expected that electric vehicles will be able to satisfy most road transport needs. The aim of this paper is to provide an answer to how far the electrification of buses used for local public transport can be pursuable through insight into the engineering problems and range, i.e., the autonomy on battery, as well as the efficiency of recharging systems. At first, a wide survey of the main solutions that are present on the market, or foreseen for the near future, concerning the electrification of fleets for LPT is provided. Thereafter, such solutions are compared through numerical applications and by using a practical case study, pertaining to the city of Turin (IT), where static inductive charging has been extensively experienced. Particular attention is paid to engineering problems and to the autonomy on battery of the vehicles as a function of their mass, electric energy storage system, charging opportunities and infrastructure, while comparing the time and efficiency of recharging systems. The authors conclude by recommending the most promising alternatives for battery electric buses while outlining their limits, striving to provide for the literature a research instrument, which is lacking, for delimitating the applicability of electric buses for LPT while outlining the viable solutions.

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Section: Literature Reviewmentioning

confidence: 99%

Electrifying Buses for Public Transport: Boundaries with a Performance Analysis Based on Method and Experience

Dalla Chiara,

Pede,

Deflorio

et al. 2023

Sustainability

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“…In Eq. 28, the Taylor series can be used for the dispersion voltage ( V ) caused by the dispersion capacity ( C t dV 0 (C) dSOC 0 (30) As both of V 0 (C) and SOC 0 are functions of the discharge capacity (C), Eq. 30 can be solved as Eq.…”

Section: A: Dispersionmentioning

confidence: 99%

“…The PDF of Weibull Model is introduced to assess life reliability based on the inconsistencies in parameters including capacity, resistance, energy, and power [28]- [31]. Chiodo [30] statistically analyzes life distribution via accelerated life testing, the results show that the distribution of peak power of the cells is obvious right-skew distributed and those of energy and life are left-skew distributed, divergent from normal distribution. Harris [27] applies two-and three-parameter Weibull Models on cell inconsistency.…”

Section: Introductionmentioning

confidence: 99%

Understanding Discharge Voltage Inconsistency in Lithium-Ion Cells via Statistical Characteristics and Numerical Analysis

et al. 2020

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In electric vehicles (EVs), owing to the necessity of large amounts of energy and power, lithium-ion batteries need to be used in series and parallel configurations. However, the performance of the battery pack is lower than that of any single cell within the pack because of the inconsistency among the packed cells. Herein, the inconsistent voltages of unpacked cells due to varying capacities during discharge are analyzed to provide mechanical reason for inconsistency of battery pack. In terms of dispersion and symmetry, the statistical characteristics of voltage distribution are described using Weibull parameters and is investigated using a numerical analysis of the characteristic voltage curve. The numerical analysis results agree well with the experimental and statistical ones, which confirms that voltage inconsistency originating from manufacturing processes is primarily related with capacity inconsistency and the features of the voltage curves. Furthermore, this numerical approach can provide not only significant theoretical insight into the formation and evaluation of voltage inconsistency; but also practical guidance for controlling the quality of cell production and state estimation for the battery pack due to its low computational cost. INDEX TERMSVoltage inconsistency, inconsistency model, weibull probability model, 4-d probability nephogram, dispersion and symmetry of voltage distribution.

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“…Chiodo et al [20] worked on an accelerated test using batteries' data. Chiodo et al [20] presented statistical analysis of lithium-ion battery recycling processes. Mathis et al [21] presented statistical work on the consumption due to the energy heating system.…”

Section: Introductionmentioning

confidence: 99%

A new goodness of fit test in the presence of uncertain parameters

Aslam

2020

Complex Intell. Syst.

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The Weibull distribution has been widely used in the areas of quality and reliability. The Anderson–Darling test has been popularly used either the data in hand follow the Weibull distribution or not. The existing Anderson–Darling test under classical statistics is applied when all the observations in quality and reliability work are determined, précised, and exact. In the areas of reliability and quality, the data may indeterminate, in-interval and fuzzy. In this case, the existing Anderson–Darling test cannot be applied for testing the assumption of the Weibull distribution. In this paper, we present the Anderson–Darling test under neutrosophic statistics. We present the methodology to fit the neutrosophic Weibull distribution on the data. We discuss the testing procedure with the help of reliability data. We present the comparisons of the proposed test with the existing Anderson–Darling the goodness of fit test under classical statistics. From the comparison, it is concluded that the proposed test is more informative than the existing Anderson–Darling test under an indeterminate environment. In addition, the proposed test gives information about the measure of indeterminacy.

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Probabilistic Battery Design Based upon Accelerated Life Tests

Cited by 9 publications

References 30 publications

Electrifying Buses for Public Transport: Boundaries with a Performance Analysis Based on Method and Experience

Electrifying Buses for Public Transport: Boundaries with a Performance Analysis Based on Method and Experience

Understanding Discharge Voltage Inconsistency in Lithium-Ion Cells via Statistical Characteristics and Numerical Analysis

A new goodness of fit test in the presence of uncertain parameters

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