A computationally efficient Li-ion electrochemical battery model for long-term analysis of stand-alone renewable energy systems

Astaneh, Majid; Dufo-López, Rodolfo; Roshandel, Ramin; Golzar, Farzin; Bernal-Agustín, José L.

doi:10.1016/j.est.2018.02.015

Cited by 30 publications

(7 citation statements)

References 34 publications

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“…The positive electrode, cathode, of a Li-ion battery is composed of metal oxide materials, usually transition metals, and the negative electrode, anode, is made of graphite. When the battery is being charged, the Li ions flow from the cathode to the anode, where they combine with the incoming electrons and are later stored in the graphite layers [18]. During the discharge process, electrons are transferred from the battery cell, and the Li ions flow through the electrolyte back to the cathode.…”

Section: Battery Electrochemical Modelmentioning

confidence: 99%

Non-Ideal Linear Operation Model for Li-Ion Batteries

Gonzalez-Castellanos

Pozo

Bischi

2020

IEEE Trans. Power Syst.

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Currently, the characterization of electric energy storage units used for power system operation and planning models relies on two major assumptions: charge and discharge efficiencies, and power limits are constant and independent of the electric energy storage state of charge. This approach can misestimate the available storage flexibility.This work proposes a detailed model for the characterization of steady-state operation of Li-ion batteries in optimization problems. The model characterizes the battery performance, including non-linear charge and discharge power limits and efficiencies, as a function of the state of charge and requested power. We then derive a linear reformulation of the model without introducing binary variables, which achieves high computational efficiency, while providing high approximation accuracy. The proposed model characterizes more accurately the performance and technical operational limits associated with Li-ion batteries than those present in classical ideal models.The developed battery model has been compared with three modelling approaches: the complete non-convex formulation; an ideal model typically used in the power system community; and a mixed integer linear reformulation approach. The models have been tested on a network-constrained economic dispatch for a 24bus system. Based on the simulations, we observed approximately 12% of energy mismatches between schedules that use an ideal model and those that use the model proposed in this study.

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Section: Battery Electrochemical Modelmentioning

confidence: 99%

Non-Ideal Linear Operation Model for Li-Ion Batteries

Gonzalez-Castellanos

Pozo

Bischi

2020

IEEE Trans. Power Syst.

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“…A Li-ion electrochemical cell sandwich comprises three main compartments: a porous negative electrode (anode), a porous positive electrode (cathode), and a separator, as illustrated in Figure 1. The cell is commonly filled with an electrolyte made of solvent and Li-salt to facilitate the mobility of Li-ions [30].…”

Section: Electrochemical-thermal Cell Modelmentioning

confidence: 99%

Calibration Optimization Methodology for Lithium-Ion Battery Pack Model for Electric Vehicles in Mining Applications

et al. 2020

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Large-scale introduction of electric vehicles (EVs) to the market sets outstanding requirements for battery performance to extend vehicle driving range, prolong battery service life, and reduce battery costs. There is a growing need to accurately and robustly model the performance of both individual cells and their aggregated behavior when integrated into battery packs. This paper presents a novel methodology for Lithium-ion (Li-ion) battery pack simulations under actual operating conditions of an electric mining vehicle. The validated electrochemical-thermal models of Li-ion battery cells are scaled up into battery modules to emulate cell-to-cell variations within the battery pack while considering the random variability of battery cells, as well as electrical topology and thermal management of the pack. The performance of the battery pack model is evaluated using transient experimental data for the pack operating conditions within the mining environment. The simulation results show that the relative root mean square error for the voltage prediction is 0.7–1.7% and for the battery pack temperature 2–12%. The proposed methodology is general and it can be applied to other battery chemistries and electric vehicle types to perform multi-objective optimization to predict the performance of large battery packs.

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“…Electrochemical models are usually very complex, so they are unsuitable for optimization problems because there are many possible solutions, a high number of evaluations, and therefore excessive calculation times. The models of Astaneh et al [21,22], Xiong et al [23], Wijewardana et al [24], Suresh et al [25,26], and Ashwin et al [27,28] are examples. A simplified electrochemical model is provided by Rechkemmer et al [29].…”

Section: Introductionmentioning

confidence: 99%

Estimating Degradation Costs for Non-Cyclic Usage of Lithium-Ion Batteries

2020

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Estimating the degradation costs of lithium-ion batteries is essential to the designs of many systems because batteries are increasingly used in diverse applications. In this study, cyclic and calendar degradation models of lithium batteries were considered in optimization problems with randomized non-cyclic batteries use. Such models offer realistic results. Electrical, thermal, and degradation models were applied for lithium nickel cobalt manganese oxide (NMC) and lithium iron phosphate (LFP) technologies. Three possible strategies were identified to estimate degradation costs based on cell models. All three strategies were evaluated via simulations and validated by comparing the results with those obtained by other authors. One strategy was discarded because it overestimates costs, while the other two strategies give good results, and are suitable for estimating battery degradation costs in optimization problems that require deterministic models.

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A computationally efficient Li-ion electrochemical battery model for long-term analysis of stand-alone renewable energy systems

Cited by 30 publications

References 34 publications

Non-Ideal Linear Operation Model for Li-Ion Batteries

Non-Ideal Linear Operation Model for Li-Ion Batteries

Calibration Optimization Methodology for Lithium-Ion Battery Pack Model for Electric Vehicles in Mining Applications

Estimating Degradation Costs for Non-Cyclic Usage of Lithium-Ion Batteries

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