Modeling and Simulation of Lithium-ion Battery Considering the Effect of Charge-Discharge State

Jin, Yin; Zhao, Wei‐Li; Li, Zhixin; Liu, Baolong; Liu, Liu

doi:10.1088/1742-6596/1907/1/012003

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…as reported in [14] at t = 0, U 1 (0) = 0, hence the initial term is zero. Therefore, (3) reduces to…”

Section: The Lithium-ion Battery Modelmentioning

confidence: 55%

Performance Evaluation of Recycledlithium-Ion Batteries in Irrigation System

Isyaka,

Hassan,

Haruna

et al. 2023

Nigerian Journal of Tropical Engineering

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Water pumps, being the most essential part of any irrigation system require fuel or electricity to be operated. Thefuel is often expensive, and majority of rural areas are not connected to the grid. This necessitated the need foran alternative source of energy to power the pumps. Solar energy is one of the most easily accessible forms ofenergy and has the advantages of being environmentally friendly and durable. The energy is also in abundanceand readily available. A key concern is the high cost of batteries to store the solar energy. This paper analyses theperformance of solar irrigation system using recycled laptop batteries. The use of recycled laptop batteries is expectedto cut the cost of deep-cycle batteries by more than 60%. Experimental results have shown that the recycledlithium-ion batteries can effectively power irrigation pump hence, can handle the irrigation process satisfactorily.

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“…as reported in [14] at t = 0, U 1 (0) = 0, hence the initial term is zero. Therefore, (3) reduces to…”

Section: The Lithium-ion Battery Modelmentioning

confidence: 55%

Performance Evaluation of Recycledlithium-Ion Batteries in Irrigation System

Isyaka,

Hassan,

Haruna

et al. 2023

Nigerian Journal of Tropical Engineering

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show abstract

“…As previously indicated, the number of RC pairs is directly linked to the model order, which is a trade-off between model accuracy and complexity. For Li-ion batteries, an ECM with two RC networks is commonly employed and it achieves a good level of accuracy [26].…”

Section: Battery Modelmentioning

confidence: 99%

Modeling and On-Road Testing of an Electric Two-Wheeler towards Range Prediction and BMS Integration

et al. 2022

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The automotive sector is currently shifting its focus from traditional fossil fuels to electrification. The deployment of a Battery Management System (BMS) unit is the key point to oversee the battery state of the electric vehicle (EV) to ensure safety and performances. The development and assessment of electric vehicle models in turn lays the groundwork of the BMS design as it provides a quick and cheap solution to test battery optimal control logics in a Software-in-the-Loop environment. Despite the various contribution to the literature in battery and vehicle modeling, electric scooters are mostly disregarded together with a reliable estimation of their performance and electric range. The present paper hence aims at filling the gap of knowledge through the development of a numerical model for considering a two-wheeler. The latter model relies on the conservation energy based-longitudinal dynamic approach and is coupled to a Li-Ion Battery second-order RC equivalent circuit model for the electric range prediction. More specifically, the presented work assesses the performance and electric range of a two-wheeler pure electric scooter in a real-world driving cycle. The e-powertrain system embeds an Electrical Energy Storage System (EESS) Li-Ion Battery pack. On-road tests were initially conducted to retrieve the main model parameters and to perform its validation. A global battery-to-wheels efficiency was also calibrated to account for the percentual amount of available net power for the vehicle onset. The model proved to properly match the experimental data in terms of total distance traveled over a validation driving mission.

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“…It is the most preferred model to perform simulation of complete electric vehicles as it can be easily integrated. However, the basic electrical circuit models do not take into account non-linearity effects in battery behavior, resulting in the inaccurate prediction of battery performance [3][4]. Many advanced electric circuit models are presented in [5][6][7][8][9][10] which are simple but can accurately predict the battery's remaining capacity.…”

Section: Equivalent Electrical Circuit Modelmentioning

confidence: 99%

The performance analysis of modified generic model for Lithium-ion batteries

K¹,

Vasudha²

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Battery technology has been widely used in various applications such as electric vehicles, smart grids, renewable energy systems, and sustainable power applications in recent years. The type, rating, and operating characteristics of batteries vary from one application to another. For example, Electric Vehicles (EVs) need lightweight batteries capable of producing fast energy and withstanding frequent charge/discharge cycles. Renewable energy applications require batteries that can store large energy in the time of excessive electric power generation and can substitute renewable energy sources to supply power in times of non-generation. As batteries are an electro-chemical phenomenon and are generally expensive, it is essential to establish an effective battery model to analyze its behavior under different operating conditions. In this regard, this paper presents a comprehensive study of various battery modeling approaches widely used for the characterization of batteries employed as energy sources for electric vehicles. A simple modified generic battery model is developed and simulated for the ANR26650M1 Li-ion battery in a MATLAB-Simulink environment. The modified generic model includes a polarization voltage term to represent the open-circuit voltage accurately and the polarization resistance term is slightly modified. The model parameters are deduced from the data sheet provided by the battery manufacturers. The discharge curve obtained through simulation is validated with the one given in the datasheet.

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Modeling and Simulation of Lithium-ion Battery Considering the Effect of Charge-Discharge State

Cited by 11 publications

References 5 publications

Performance Evaluation of Recycledlithium-Ion Batteries in Irrigation System

Performance Evaluation of Recycledlithium-Ion Batteries in Irrigation System

Modeling and On-Road Testing of an Electric Two-Wheeler towards Range Prediction and BMS Integration

The performance analysis of modified generic model for Lithium-ion batteries

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