Modeling battery performance in electric vehicle applications

Marr, W.W.; Walsh, William J.; Symons, P.C.

doi:10.1016/0196-8904(92)90012-l

Cited by 12 publications

(4 citation statements)

References 2 publications

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“…It is produced by the powertrain which is then transferred through the vehicle transmission system to the front and rear drive wheels. It can be calculated by [8][9][10][11].…”

Section: Umev Vehicle Dynamic Modelmentioning

confidence: 99%

Comparison and Selection of LiFePO4 Battery System in Underground Mine Electric Vehicles

He¹,

Shen²

2019

dteees

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Due to safe and reliable characteristic, two lithium iron phosphate (LiFePO4) batteries and their corresponding battery packs with different capacities have been chosen to make four battery systems for underground mine electric vehicles (UMEVs). The experiments of these batteries and battery packs are conducted to identify their internal resistances, the relationships between open circuit voltage and state of charge during charging/discharging period and capacities at different ambient temperatures. A hybrid simulation approach based on the modified Advanced Vehicle Simulator (ADVISOR) is proposed to compare these four battery systems by integrating the experimental results of these batteries and battery packs into an UMEV model. Then, the simulation of the UMEV is conducted at the specifically designed underground mine driving cycle with variable rolling resistance coefficients and variable uphill/downhill gradients. The results indicate that the battery system with the prismatic cell of 20Ah is the best option for the UMEV among the four battery systems.

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“…It is produced by the powertrain which is then transferred through the vehicle transmission system to the front and rear drive wheels. It can be calculated by [8][9][10][11].…”

Section: Umev Vehicle Dynamic Modelmentioning

confidence: 99%

Comparison and Selection of LiFePO4 Battery System in Underground Mine Electric Vehicles

He¹,

Shen²

2019

dteees

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“…The application of regenerative braking involve the availability of a load or a storage device (whose performances in electric vehicles have been investigated by Marr et al [11]) able to manage the energy recovered from the braking phase of the train: Hillmansen et al [12] found that a significant percentage of the railway energy consumption could be saved using proper storage devices.…”

Section: B Regenerative Braking and Energy Storage Systems: State Of ...mentioning

confidence: 99%

Energetic optimization of regenerative braking for high speed railway systems

Frilli

Meli

Nocciolini

et al. 2016

Energy Conversion and Management

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“…In fact, PV system reliability and availability is greatly linked to the correct choice of storage batteries in terms of available capacity and some related technological parameters. In most cases, these choices are based on the number of charging/ discharging cycles [3], operating temperature range, nominal voltage, available capacity in ampere-hours, maintenance requirements, price, and availability in the market [4,5].…”

Section: Introductionmentioning

confidence: 99%

Update battery model for photovoltaic application based on comparative analysis and parameter identification of lead–acid battery models behaviour

Degla

Chikh²,

Chouder

et al. 2018

IET Renewable Power Generation

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Energy storage using electrochemical battery systems has been widely addressed as a key element to enable widespread integration of renewable energy. Here, an updated battery model is investigated in order to allow accurate standalone photovoltaic (PV) systems simulation, for performance assessment and long-term energy prediction. Battery models have been largely described in the literature. However, this study reviews the most commonly used models in PV application such as Shepherd, Manegon, and Coppetti models in order to validate the suitable mathematical model. The updated battery model based on experimental results and parameter extraction procedure is carried out using sealed gelled lead/acid battery during charge and discharge processes. A comparative analysis based on statistical tests and optimisation method confirms the effectiveness of the most accurate model among the three models using new proposed parameters. The simulation results of the model with new coefficients are compared with measured data, recorded from battery charge and discharge test bench to validate the accuracy of the updated model.

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Modeling battery performance in electric vehicle applications

Cited by 12 publications

References 2 publications

Comparison and Selection of LiFePO4 Battery System in Underground Mine Electric Vehicles

Comparison and Selection of LiFePO4 Battery System in Underground Mine Electric Vehicles

Energetic optimization of regenerative braking for high speed railway systems

Update battery model for photovoltaic application based on comparative analysis and parameter identification of lead–acid battery models behaviour

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