Adaptive deterministic approach for optimized sizing of high-energy battery system applied in electric-powered application

Han, Seungyun; Tagayi, Roland Kobla; Kim, Jae-Won; Kim, Jong-Hoon

doi:10.1016/j.apenergy.2021.118498

Cited by 7 publications

(2 citation statements)

References 31 publications

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“…The Panasonic model NCR18650B battery has been selected, which is designed to be part of the pack of an electric vehicle, in addition to being used for other applications of electric mobility, such as that of an airplane [46]. Table 1 summarizes the main characteristics of this battery commercial model.…”

Section: Data Of Proposed Modelmentioning

confidence: 99%

Modeling and Simulation of a Commercial Lithium-Ion Battery with Charge Cycle Predictions

et al. 2022

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The analysis of the behavior of lithium-ion batteries has gained considerable interest in recent years. There are different alternatives for the analysis of this behavior; however, depending on the type of modeling, there are application and optimization restrictions. In this work, a hybrid model has been made that is capable of predicting the characteristics of a lithium-ion battery. As a novelty, the simplification, at the same time, facilitates the sampling of parameters for their prompt selection for optimization. A new model open to the user is proposed, which has proven to be efficient in simulation time. For example, one hour simulates it in 5 min, providing information detailing how these parameters, State of Health (SOH), Open Circuit Voltage (VOC), State of charge (SOC), and Number of charge and discharge cycles, in the face of temperature variations and charge and discharge cycles. Opening the possibility of optimizing the parameters with different techniques to estimate the performance and dynamics in the face of temperature change and charge and discharge cycles. A model based on linear regressions, manufacturer characteristics, and integrating equations in the electrical model of electrochemical phenomena is proposed.

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Section: Data Of Proposed Modelmentioning

confidence: 99%

Modeling and Simulation of a Commercial Lithium-Ion Battery with Charge Cycle Predictions

et al. 2022

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“…Another way to improve the range of pure EVs is to improve the energy using the efficiency of some components and full vehicles [30], such as energy regeneration technology, single-pedal technology [31], energy management strategy optimization [32], power semiconductor devices [33], and so on. For the past few years, energy flow analysis has played a significant role in vehicle efficiency improvement, whether in traditional fuel vehicles or new energy vehicles [34,35].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on the Energy Flow of Electric Vehicle Batteries among Different Environmental Temperatures

Zhao

et al. 2023

Energies

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In the present research, the energy flow of electric vehicle batteries under different environmental temperatures was experimentally examined in a climate chamber. The energy flow characteristics, energy loss conditions, and the critical components’ operating conditions and working efficiency under different environmental temperatures were comparatively analyzed. The test results show that the environmental temperature has a profound impact on an electric vehicle’s performance and the critical components’ working conditions. The driving mileage of the tested vehicle at −7 °C, 23 °C, and 35 °C was found to be 162.89 km, 256.09 km, and 198.69 km, respectively. The environmental temperature does not have much effect on the loss of the motor and motor control unit under driving conditions, and the proportion of those at different temperatures is in all cases about 18%. The battery-recycled energy at 23 °C under braking conditions is much higher than that at −7 °C and 35 °C, leading to a longer driving range. The power battery pack thermal transfer loss at −7 °C is much greater than that at 23 °C and 35 °C due to the low charging and discharging efficiency and the high energy consumption required to warm up the battery at a low environmental temperature. The compressor energy consumption accounts for a large proportion in both braking and driving conditions at 35 °C, and the proportions are 15.25% and 12.41%, respectively. The battery state-of-charge drops the fastest at −7 °C, followed by 35 °C, due to the differences in the power demands of air conditioning, warm air positive temperature coefficient (PTC), and battery PTC in high- and low-temperature environments. The working condition of the front motor under driving conditions at 35 °C is the most severe and leads to the lowest working efficiency.

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Characteristic analysis of power lithium-ion batteries

Zhou

Anvari‐Moghaddam

et al. 2023

State Estimation Strategies in Lithium-Ion Battery Management Systems

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Adaptive deterministic approach for optimized sizing of high-energy battery system applied in electric-powered application

Cited by 7 publications

References 31 publications

Modeling and Simulation of a Commercial Lithium-Ion Battery with Charge Cycle Predictions

Modeling and Simulation of a Commercial Lithium-Ion Battery with Charge Cycle Predictions

A Comparative Study on the Energy Flow of Electric Vehicle Batteries among Different Environmental Temperatures

Characteristic analysis of power lithium-ion batteries

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