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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.
Majid Astaneh; Jelena Andric; Lennart Löfdahl; Dario Maggiolo; Peter Stopp; Mazyar Moghaddam; Michel Chapuis; Henrik Ström. Calibration Optimization Methodology for Lithium-Ion Battery Pack Model for Electric Vehicles in Mining Applications. Energies 2020, 13, 3532 .
AMA StyleMajid Astaneh, Jelena Andric, Lennart Löfdahl, Dario Maggiolo, Peter Stopp, Mazyar Moghaddam, Michel Chapuis, Henrik Ström. Calibration Optimization Methodology for Lithium-Ion Battery Pack Model for Electric Vehicles in Mining Applications. Energies. 2020; 13 (14):3532.
Chicago/Turabian StyleMajid Astaneh; Jelena Andric; Lennart Löfdahl; Dario Maggiolo; Peter Stopp; Mazyar Moghaddam; Michel Chapuis; Henrik Ström. 2020. "Calibration Optimization Methodology for Lithium-Ion Battery Pack Model for Electric Vehicles in Mining Applications." Energies 13, no. 14: 3532.
This paper presents a mathematical formulation of lithium-ion batteries, including aging and temperature effects. The model is developed by integrating the simplified single particle model (SSPM) and reduced-order model (ROM) to predict solid electrolyte interphase growth (SEI). Results show agreement with the experimental data at 25 °C operating temperature and moderate cycling currents. A maximum error of 3.6% in finding the battery discharged Ah is observed in harsh operating conditions, including 60 °C and approaching the end of life of the battery. Due to the typical operating conditions of stand-alone renewable energy systems, more accurate estimations are expected. Finally, this methodology is utilized to predict the lifetime of lithium-ion batteries that are combined with PV generators to supply electricity to an isolated house situated near Zaragoza, Spain, under two control strategies. The results indicate realistic lifetime predictions when using the model in real operating conditions for this kind of system. Besides, by maintaining the batteries in states of charge of lower than 70%, around 55% increase in the battery lifetime can be achieved at the cost of 0.23% reduction in the percentage of the electrical load that is able to be covered by the stand-alone system.
Majid Astaneh; Rodolfo Dufo-López; Ramin Roshandel; José L. Bernal-Agustin. A novel lifetime prediction method for lithium-ion batteries in the case of stand-alone renewable energy systems. International Journal of Electrical Power & Energy Systems 2018, 103, 115 -126.
AMA StyleMajid Astaneh, Rodolfo Dufo-López, Ramin Roshandel, José L. Bernal-Agustin. A novel lifetime prediction method for lithium-ion batteries in the case of stand-alone renewable energy systems. International Journal of Electrical Power & Energy Systems. 2018; 103 ():115-126.
Chicago/Turabian StyleMajid Astaneh; Rodolfo Dufo-López; Ramin Roshandel; José L. Bernal-Agustin. 2018. "A novel lifetime prediction method for lithium-ion batteries in the case of stand-alone renewable energy systems." International Journal of Electrical Power & Energy Systems 103, no. : 115-126.
This work presents a mathematical framework for calculating Li-ion batteries useful life by coupling electrochemical and thermal aging models. The model takes into account the impact of operating conditions of real wind-battery power stations including charge/discharge profiles and control strategies to predict battery degradation over time. The model estimates battery end of discharge capacity with a RRSME of 1.1% in comparison with experimental data. In addition, the maximum relative error to predict battery voltage in the plateau region of charge/discharge curves is 1.3%. Results show a remarkable impact of operating conditions on battery bank lifetime. Analyzing different case studies predicts a wide range of 4.6–11.6 years for battery longevity. Moreover, the model shows that controlling the maximum allowed battery state of charge set point improves battery bank lifetime up to 63%. Hence, the proposed model is a powerful decision support tool to evaluate the impact of off-grid wind-battery systems operating conditions on the battery lifetime.
Milad Ghorbanzadeh; Majid Astaneh; Farzin Golzar. Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems. Energy 2018, 166, 1194 -1206.
AMA StyleMilad Ghorbanzadeh, Majid Astaneh, Farzin Golzar. Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems. Energy. 2018; 166 ():1194-1206.
Chicago/Turabian StyleMilad Ghorbanzadeh; Majid Astaneh; Farzin Golzar. 2018. "Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems." Energy 166, no. : 1194-1206.
This paper proposes a new methodology to find the most economic system configuration and energy management strategy for Li-ion battery based off-grid renewable energy systems. A system level macroscopic model and a microscopic battery lifetime prediction model are incorporated into the optimization framework to simulate hourly performance of the system. Due to the computational efficiency of the model, optimization is carried out using enumerative method (evaluating all the possible combinations of components and control strategies) to ensure finding the global optimum solution of the problem. To investigate the effectiveness of the proposed methodology, the optimization results are compared with a baseline scenario which is an installed PV-battery system to provide electricity for an isolated house situated near Zaragoza, Spain. Results indicate that the optimized scenario leads to 9.7% reduction in the levelized cost of energy and 48.6% improvement in the battery service period in comparison with the baseline scenario. Moreover, by considering a 0.5% unmet load, the economic feasibility of the system and the battery longevity are enhanced to 14.6% and 78.4%, respectively. Finally, to evaluate the effect of battery unit price and future trends on the optimization results, sensitivity analysis is performed.
Majid Astaneh; Ramin Roshandel; Rodolfo Dufo-López; José L. Bernal-Agustín. A novel framework for optimization of size and control strategy of lithium-ion battery based off-grid renewable energy systems. Energy Conversion and Management 2018, 175, 99 -111.
AMA StyleMajid Astaneh, Ramin Roshandel, Rodolfo Dufo-López, José L. Bernal-Agustín. A novel framework for optimization of size and control strategy of lithium-ion battery based off-grid renewable energy systems. Energy Conversion and Management. 2018; 175 ():99-111.
Chicago/Turabian StyleMajid Astaneh; Ramin Roshandel; Rodolfo Dufo-López; José L. Bernal-Agustín. 2018. "A novel framework for optimization of size and control strategy of lithium-ion battery based off-grid renewable energy systems." Energy Conversion and Management 175, no. : 99-111.
In this paper we introduce a Simplified Single Particle Model (SSPM), which is obtained from the general mathematical formulation of Li-ion batteries. The model is validated by using different commercial graphite/LiFePO4 cells, and results show agreement with more complicated models and experimental data for low operating currents of less than 1C. A maximum relative error of less than 2% can be observed to estimate cell voltage in the plateau region of the charge/discharge curves. Therefore, the proposed model is suitable in the case of stand-alone renewable energy systems, where battery current is typically lower than C/10. By increasing the current, the SSPM deviates from more accurate models and experimental data. However, it is sufficiently precise and computationally efficient to be used in the simulation and optimization framework of off-grid renewable energy systems. Finally, the proposed model will be applied to two different case studies; one for an installed PV-battery and the other for a Wind-battery system which are located near Zaragoza, Spain, in order to predict battery state over time.
Majid Astaneh; Rodolfo Dufo-López; Ramin Roshandel; Farzin Golzar; José L. Bernal-Agustín. A computationally efficient Li-ion electrochemical battery model for long-term analysis of stand-alone renewable energy systems. Journal of Energy Storage 2018, 17, 93 -101.
AMA StyleMajid Astaneh, Rodolfo Dufo-López, Ramin Roshandel, Farzin Golzar, José L. Bernal-Agustín. A computationally efficient Li-ion electrochemical battery model for long-term analysis of stand-alone renewable energy systems. Journal of Energy Storage. 2018; 17 ():93-101.
Chicago/Turabian StyleMajid Astaneh; Rodolfo Dufo-López; Ramin Roshandel; Farzin Golzar; José L. Bernal-Agustín. 2018. "A computationally efficient Li-ion electrochemical battery model for long-term analysis of stand-alone renewable energy systems." Journal of Energy Storage 17, no. : 93-101.
Ramin Roshandel; Farzin Golzar; Majid Astaneh. Technical, economic and environmental optimization of combined heat and power systems based on solid oxide fuel cell for a greenhouse case study. Energy Conversion and Management 2018, 164, 144 -156.
AMA StyleRamin Roshandel, Farzin Golzar, Majid Astaneh. Technical, economic and environmental optimization of combined heat and power systems based on solid oxide fuel cell for a greenhouse case study. Energy Conversion and Management. 2018; 164 ():144-156.
Chicago/Turabian StyleRamin Roshandel; Farzin Golzar; Majid Astaneh. 2018. "Technical, economic and environmental optimization of combined heat and power systems based on solid oxide fuel cell for a greenhouse case study." Energy Conversion and Management 164, no. : 144-156.
J.S. Artal-Sevil; R. Dufo; Majid Astaneh; J.A. Domínguez; J.L. Bernal-Agustín. Development of a small wind turbine for stand-alone system in rural environment. Reuse and recycling of electric motors. Renewable Energy and Power Quality Journal 2018, 1, 745 -750.
AMA StyleJ.S. Artal-Sevil, R. Dufo, Majid Astaneh, J.A. Domínguez, J.L. Bernal-Agustín. Development of a small wind turbine for stand-alone system in rural environment. Reuse and recycling of electric motors. Renewable Energy and Power Quality Journal. 2018; 1 ():745-750.
Chicago/Turabian StyleJ.S. Artal-Sevil; R. Dufo; Majid Astaneh; J.A. Domínguez; J.L. Bernal-Agustín. 2018. "Development of a small wind turbine for stand-alone system in rural environment. Reuse and recycling of electric motors." Renewable Energy and Power Quality Journal 1, no. : 745-750.
R. Dufo López; S. Sanz Ortega; J.S. Artal Sevil; Majid Astaneh; J.M. Lujano Rojas; J.A. Domínguez Navarro; J.L. Bernal Agustín. Analysis of power supply possibilities through lithium batteries connected to the AC grid. Renewable Energy and Power Quality Journal 2018, 1, 451 -455.
AMA StyleR. Dufo López, S. Sanz Ortega, J.S. Artal Sevil, Majid Astaneh, J.M. Lujano Rojas, J.A. Domínguez Navarro, J.L. Bernal Agustín. Analysis of power supply possibilities through lithium batteries connected to the AC grid. Renewable Energy and Power Quality Journal. 2018; 1 ():451-455.
Chicago/Turabian StyleR. Dufo López; S. Sanz Ortega; J.S. Artal Sevil; Majid Astaneh; J.M. Lujano Rojas; J.A. Domínguez Navarro; J.L. Bernal Agustín. 2018. "Analysis of power supply possibilities through lithium batteries connected to the AC grid." Renewable Energy and Power Quality Journal 1, no. : 451-455.
The aim of this paper is to investigate the implementation of a molten carbonate fuel cell (MCFC) as a CO2 separator. By applying multi-objective optimization (MOO) using the genetic algorithm, the optimal values of operating load and the corresponding values of objective functions are obtained. Objective functions are minimization of the cost of electricity (COE) and minimization of CO2 emission rate. CO2 tax that is accounted as the pollution-related cost, transforming the environmental objective to the cost function. The results show that the MCFC stack which is fed by the syngas and gas turbine exhaust, not only reduces CO2 emission rate, but also produces electricity and reduces environmental cost of the system.
Ramin Roshandel; Majid Astaneh; Farzin Golzar. Multi-objective optimization of molten carbonate fuel cell system for reducing CO2 emission from exhaust gases. Frontiers in Energy 2015, 9, 106 -114.
AMA StyleRamin Roshandel, Majid Astaneh, Farzin Golzar. Multi-objective optimization of molten carbonate fuel cell system for reducing CO2 emission from exhaust gases. Frontiers in Energy. 2015; 9 (1):106-114.
Chicago/Turabian StyleRamin Roshandel; Majid Astaneh; Farzin Golzar. 2015. "Multi-objective optimization of molten carbonate fuel cell system for reducing CO2 emission from exhaust gases." Frontiers in Energy 9, no. 1: 106-114.
Farzin Golzar; Majid Astaneh; Ramin Roshandel; Atefeh Behzadi Forough. Reducing CO 2 emission from exhaust gases using molten carbonate fuel cells: a new approach. International Journal of Ambient Energy 2014, 37, 1 -10.
AMA StyleFarzin Golzar, Majid Astaneh, Ramin Roshandel, Atefeh Behzadi Forough. Reducing CO 2 emission from exhaust gases using molten carbonate fuel cells: a new approach. International Journal of Ambient Energy. 2014; 37 (4):1-10.
Chicago/Turabian StyleFarzin Golzar; Majid Astaneh; Ramin Roshandel; Atefeh Behzadi Forough. 2014. "Reducing CO 2 emission from exhaust gases using molten carbonate fuel cells: a new approach." International Journal of Ambient Energy 37, no. 4: 1-10.