Electro-thermal battery model identification for automotive applications

Hu, Yuping; Yurkovich, Stephen; Guezennec, Yann; Yurkovich, Benjamin J.

doi:10.1016/j.jpowsour.2010.06.037

Cited by 254 publications

(119 citation statements)

References 9 publications

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“…In [21] Lee et al have applied real load profiles for the evaluation of battery behaviour. In addition, in [22][23][24][25], asymmetrical and symmetrical load profiles have been implemented for emulating the battery voltage response during discharge phase. However, these mentioned profiles are only useful to investigate a well-defined problem.…”

Section: Introductionmentioning

confidence: 99%

Standardization Work for BEV and HEV Applications: Critical Appraisal of Recent Traction Battery Documents

et al. 2012

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Abstract:The increased activity in the field of Battery Electric Vehicles (BEVs) and Hybrid Electric Vehicles (HEVs) have led to an increase in standardization work, performed by both world-wide organizations like the IEC or the ISO, as by regional and national bodies such as CEN, CENELEC, SAE or JEVA. The issues of these standards cover several topics: safety, performance and operational/dimension issues. This paper reports a brief overview of current standardization activities of lithium batteries based on IEC 62660-1/2 and ISO 12405-1/2. Furthermore, in this paper, a series of innovative test procedures for lithium-ion batteries are presented. Thanks to these tests, the general characteristics of a battery such as charge and discharge capabilities, power performances and life cycle can be determined. Then, a new approach for extracting the life cycle of a battery in function of depth of discharge has been developed.

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Section: Introductionmentioning

confidence: 99%

Standardization Work for BEV and HEV Applications: Critical Appraisal of Recent Traction Battery Documents

et al. 2012

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“…Since these calculations are usually executed offline on workstations, the stringent requirements of real-time computation are absent, and one can afford to use a more computationally expensive model such as the Li-ion models of [8,10,[23][24][25][26][27][28][29][30][31][32], the NiMH models of [7,9,23,33], or the lead-acid models of [23,34,35]. A good comparison of circuit-based models for Li-ion batteries is presented by Hu et al in [36].…”

Section: Introductionmentioning

confidence: 99%

“…Hu et al [36] use multi-swarm particle swarm optimization to match several different battery models to the same experimental data. Hu et al [29,30] use a genetic algorithm and 1D and 2D spline interpolation to find the SOC and temperature dependence of circuit model component values for charge and discharge current directions. Troltzsch et al [42] use a combination of genetic global optimization and Levenberg-Marquardt local optimization 4 to find parameter values for an EIS circuit model.…”

Section: Introductionmentioning

confidence: 99%

A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation

Seaman

Dao

McPhee

2014

Journal of Power Sources

378

159

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In this paper, we survey two kinds of mathematics-based battery models intended for use in hybrid and electric vehicle simulation. The first is circuit-based, which is founded upon the electrical behaviour of the battery, and abstracts away the electrochemistry into equivalent electrical components. The second is chemistry-based, which is founded upon the electrochemical equations of the battery chemistry.

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“…The main criteria by which to choose batteries used in PV systems are: charging/discharging cycles, battery capacity and voltage, lifetime, maintenance requirements, and of course, efficiency. The manner in which it responds to the numerous and rapid chargingdischarging cycles is the most critical characteristic of the battery used for PV system [3], [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Modeling the I- λ-T Characteristic for Photovoltaic Systems Storage Batteries During Charging Process

Diaconu

2017

The Scientific Bulletin of Electrical Engineering Faculty

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Abstract. In this paper is presented a numerical method for measurement and analysis of the charging characteristics I-λ-t (battery current-irradiance-time) of storage batteries for photovoltaic (PV) power systems. The experimental data is obtained from the PV modules by a data acquisition system built in the charger component. An algorithm developed as a Matlab source code is used to model the charging characteristics of the batteries connected to a PV system. Using the interpolation method, the mathematical function of total battery current and depending on time and illumination are obtained. The numerical values of the errors between the theoretical and experimental results prove the accuracy of the proposed method.

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Electro-thermal battery model identification for automotive applications

Cited by 254 publications

References 9 publications

Standardization Work for BEV and HEV Applications: Critical Appraisal of Recent Traction Battery Documents

Standardization Work for BEV and HEV Applications: Critical Appraisal of Recent Traction Battery Documents

A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation

Modeling the I- λ-T Characteristic for Photovoltaic Systems Storage Batteries During Charging Process

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