Accurate Modeling of Li-ion Cells Applied to LiFePO<sub>4</sub> and NMC Chemistries

Tahir, Muhammad Usman; Moaz, Taha; Khan, Hassan A.; Zaffar, Nauman Ahmad; Khan, Irfan

doi:10.1109/tpec48276.2020.9042513

Cited by 9 publications

(5 citation statements)

References 26 publications

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“…The charging energy efficiency is the ratio of the totally discharged energy from the LIB to the total charged energy into the LIB during one whole cycle, as shown in (3).…”

Section: Charging Energy Efficiencymentioning

confidence: 99%

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The Effect of Multi-Stage Constant Current Charging on Lithium-ion Battery’s Performance

Tahir,

Sangwongwanich,

Stroe

et al. 2023

2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)

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The multi-stage constant current (MSCC) charging strategy is intended to enhance the performance of lithium-ion batteries (LIBs). Therefore, this paper investigates the MSCC charging effect on LIB's performance parameters, including charging time, charged/discharged capacity, charging energy efficiency, and maximum/average temperature rise. A 2.6 Ah lithium-iron-phosphate (LFP)-based Li-ion battery is subjected to a five-stage MSCC charging at different current rates, with SOC-based transition. The impact of the MSCC charging method on the LIB performance parameters is evaluated against the traditional CCCV charging method. The experimental findings demonstrate that the MSCC technique can reduce the charging time by 13.3% while keeping similar charged/discharged capacity and charging energy efficiency as the CCCV method, with a 1.4% reduction in maximum temperature rise at a 3.5 C charging rate. The MSCC charging technique can be useful for fast-charging LIBs in EV applications and other applications that require high charging rates while maintaining safety.

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“…The charging energy efficiency is the ratio of the totally discharged energy from the LIB to the total charged energy into the LIB during one whole cycle, as shown in (3).…”

Section: Charging Energy Efficiencymentioning

confidence: 99%

“…The lithium-ion battery (LIB) is the core technology to power EVs. LIBs are distinguished from leadacid batteries by their high energy/power density, low selfdischarge rate, and long cycle life [2,3]. In the past decade, range anxiety has been recognized as one of the major impediments to the widespread adoption of EVs.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Multi-Stage Constant Current Charging on Lithium-ion Battery’s Performance

Tahir,

Sangwongwanich,

Stroe

et al. 2023

2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)

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“…The data of the first scenario of Fig. 3 are employed in this section while re-optimizing the process in existing the battery degradation cost [43].…”

Section: Case Study: Considering Battery Degradation Costmentioning

confidence: 99%

Optimal Charging/Discharging Decision of Energy Storage Community in Grid-Connected Microgrid Using Multi-Objective Hunger Game Search Optimizer

et al. 2021

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A hybrid microgrid system (HMG) is a new avenue that offers an optimal, reliable, and cost-effective solution for utilizing localized renewable energy resources over individual DC or AC microgrids. Nonetheless, the performance of the HMG varies greatly depending on the availability of renewable resources, desired services to provide, and demand system parameters. These parameters have a high impact on decision-making, reduced costs, and improved system reliability. Therefore, in this work, a reliable and robust developed multi-objective optimizer based on the hunger game search optimizer (HGSO) is proposed to attain HMG scheduling energy management schemes over a long-time horizon of 96 hours under uncertain real-time prices. The proposed strategy's main targets are retaining uninterruptible power to the load with minimal operating costs and minimal emission from the storage systems with achieving a high renewable factor. Moreover, a case study is discussed for including the battery degradation cost in the optimization process. These targets expressed via four objective functions for a HMG include grid-connected with photovoltaic and wind as renewable energy resources, besides battery, fuel cell, and supercapacitor as a storage system. The integrated system has been designed to supply the power demand for different load profiles in Egypt and the United Arab Emirates. The proposed multi-objective hunger game search optimizer (MOHGS) is compared with the recent state-of-the-art optimizers, including multi-objective versions of marine predators algorithm (MOMPA), slime mould algorithm (MOSMA), golden-eagle optimizer (MOGEO), grasshopper optimization algorithm (MOGOA), multi-verse optimizer (MOMVO), antlion optimizer (MOALO), and grey wolf optimizer(MOGWO) to evaluate the performance of the proposed power management system based MOHGS. The scheduled HMG performance is compared with the baseline system to clarify the essential outcomes for the proposed energy management approach. The obtained results confirm the proposed systems' reliability in reducing the power loss, saving the lifetime of the proposed energy storage elements, and minimizing the emissions by 43 % and 34.1 %. Furthermore, the proposed approach saves money for the customers by 184% and 4427% throughout the two studied locations via selling power for the grid compared to the baseline approach. The proposed approach achieves RF values of 86.5% and 94.2%; meanwhile, the baseline approach offers 79.3% and 93.6% for the studied locations, respectively. INDEX TERMS Energy management; Micro grid; Hunger Game Search; Multi-objective Hunger Game Search.

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“…There are two main aging mechanisms for lithium batteries: calendar aging, which is the time aging with the battery at rest, and cyclic aging, which depends on CDCs. Both mechanisms lead to a decrease in battery capacity, [33][34][35]. We modeled the calendar aging as a capacity reduction at a constant rate during the battery life.…”

Section: Ii-life Electrical Battery Modelmentioning

confidence: 99%

Battery Second-Life for Dedicated and Shared Energy Storage Systems Supporting EV Charging Stations

et al. 2020

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Power systems are facing increasing strain due to the worldwide diffusion of electric vehicles (EVs). The need for charging stations (CSs) for battery electric vehicles (BEVs) in urban and private parking areas (PAs) is becoming a relevant issue. In this scenario, the use of energy storage systems (ESSs) could be an effective solution to reduce the peak power request by CSs in PAs to the grid. Moreover, II-Life battery modules are a potential approach for cutting costs and implementing sustainable solutions. We propose a method to size ESSs coupled to CSs by using II-Life battery modules. Our methodology is based on the estimation of the residual cycles and the decrease in the supplied power due to the battery aging for defining the number of EV battery packs required for an ESS use case. Then, economic evaluations are presented to compare II-Life with the equivalent I-Life storage system.

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Accurate Modeling of Li-ion Cells Applied to LiFePO₄ and NMC Chemistries

Cited by 9 publications

References 26 publications

The Effect of Multi-Stage Constant Current Charging on Lithium-ion Battery’s Performance

The Effect of Multi-Stage Constant Current Charging on Lithium-ion Battery’s Performance

Optimal Charging/Discharging Decision of Energy Storage Community in Grid-Connected Microgrid Using Multi-Objective Hunger Game Search Optimizer

Battery Second-Life for Dedicated and Shared Energy Storage Systems Supporting EV Charging Stations

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Accurate Modeling of Li-ion Cells Applied to LiFePO4 and NMC Chemistries

Cited by 9 publications

References 26 publications

The Effect of Multi-Stage Constant Current Charging on Lithium-ion Battery’s Performance

The Effect of Multi-Stage Constant Current Charging on Lithium-ion Battery’s Performance

Optimal Charging/Discharging Decision of Energy Storage Community in Grid-Connected Microgrid Using Multi-Objective Hunger Game Search Optimizer

Battery Second-Life for Dedicated and Shared Energy Storage Systems Supporting EV Charging Stations

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Accurate Modeling of Li-ion Cells Applied to LiFePO₄ and NMC Chemistries