Data-driven identification of lithium-ion batteries: A nonlinear equivalent circuit model with diffusion dynamics

Fan, Chuanxin; O’Regan, Kieran; Li, Liuying; Higgins, Matthew D.; Kendrick, Emma; Widanage, Widanalage Dhammika

doi:10.1016/j.apenergy.2022.119336

Cited by 10 publications

(3 citation statements)

References 56 publications

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“…As for the electromotor, it is a power transmission device connecting the battery and the transmission, and its main function is to convert electric energy and rotating mechanical energy through the magnetic field medium [32]. Hence, the real-time convert efficiency can be defined as Equation (6), which is related to its values of torque and speed, i.e.,…”

Section: Powertrain Model Considering the Energy Transmission Processmentioning

confidence: 99%

“…The EV powertrain is usually composed of the battery, the electromotor, the transmission, and other transmission devices [5]. For the sake of describing the battery energy consumption, researchers mostly adopt the equivalent circuit model (Rint model, RC model, PNGV model, and so on) to model and analyze the commonly used batteries (lead-acid battery, nickel-hydrogen battery, and lithium-ion battery) of EVs [6,7]. The internal resistance of the battery is divided into ohmic internal resistance, electrochemical internal resistance, and concentration polarization internal resistance [8].…”

Section: Introductionmentioning

confidence: 99%

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A Driving-Adapt Strategy for the Electric Vehicle with Magneto-Rheological Fluid Transmission Considering the Powertrain Characteristics

Liao

Ning

Wang

et al. 2022

Sensors

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The additional energy consumption caused by the incompatibility between existing electric vehicle (EV) powertrain characteristics and driving conditions inevitably curbs the promotion and development of EVs. Hence, there is an urgent demand for the driving-adapt strategy, which aims to minimize EV energy consumption due to both powertrain characteristics and driving conditions. In order to fully explore the EV driving-adapt potential, this paper equips the EV with a magneto-rheological fluid transmission (MRFT). First, an EV dynamics analysis of the driving conditions, the powertrain model considering the energy transmission process, and the driving-adapt transmission model considering magneto-rheological fluid (MRF) is conducted to clarify the quantitative relation between the driving conditions and the powertrain. Second, a driving-adapt optimization strategy in the specific driving condition is proposed. Finally, the results and discussions are executed to study (i) the determination of the MRFT fixed speed ratio and variable speed ratio range, (ii) the application potential analysis of the proposed strategy, and (iii) the feasibility analysis of the proposed strategy. The results indicate that (i) the urban driving condition has higher requirements for the MRFT, (ii) EVs equipped with MRFT achieve the expected driving performance at the most states of charge (SOCs) and environmental temperatures, except for the SOC lower than 10%, and (iii) the driving time with efficiency greater than 80% can be increased by the MRFT from 10.1% to 58.7% and from 66.8% to 88.8% in the urban and suburban driving conditions, respectively. Thus, the proposed driving-adapt strategy for the EV equipped with the MRFT has the potential to alleviate or eliminate the traffic problems caused by the incompatibility of the EV powertrain characteristics and the driving conditions.

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Section: Powertrain Model Considering the Energy Transmission Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Driving-Adapt Strategy for the Electric Vehicle with Magneto-Rheological Fluid Transmission Considering the Powertrain Characteristics

Liao

Ning

Wang

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…This model aims to provide an interpretation of the internal mechanisms and external behavior of the battery, enhancing its ability to characterize battery performance while maintaining a high computational efficiency. Fan et al 21 presented a nonlinear equivalent circuit model with diffusion dynamics which phenomenologically described the main electrochemical behaviors of lithium-ion batteries, such as ohmic, charge-transfer kinetics, and solid-phase diffusion. On this basis, Seo et al 22 proposed an innovative lumped battery model to improve the accuracy of battery modeling without pre-experiments.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Performance Degradation in Lithium-Ion Batteries Based on a Lumped Particle Diffusion Model

Fang,

Zhang,

Sui

et al. 2023

ACS Omega

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The analysis of performance degradation in lithium-ion batteries plays a crucial role in achieving accurate and efficient fault diagnosis as well as safety management. This paper proposes a method for studying the degradation pattern of lithium-ion batteries and establishing the structure–activity relationship between internal and external parameters by employing a lumped particle diffusion model. To simulate real-world operating conditions, a cycle life test was conducted with the constant current–constant voltage (CC–CV) charge mode and the discharge mode under New European Driving Cycle (NEDC) working condition. The test aimed to analyze the variations in the external macroscopic characteristic parameters of the battery. Building upon this analysis, a lumped particle diffusion model was constructed, and the model parameters were identified using the Levenberg–Marquardt (L–M) algorithm. Subsequently, the ohmic, activation, and concentration losses of the battery under different aging conditions were determined, revealing the internal state evolution during the degradation process of lithium-ion batteries. The findings indicate that the lumped particle diffusion model provides a comprehensive explanation of the internal mechanisms contributing to the performance degradation of lithium-ion batteries. Moreover, the proposed method offers a novel perspective for the real-time quantitative analysis of lithium-ion battery performance degradation.

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BattX: An equivalent circuit model for lithium-ion batteries over broad current ranges

Biju

Fang

2023

Applied Energy

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Data-driven identification of lithium-ion batteries: A nonlinear equivalent circuit model with diffusion dynamics

Cited by 10 publications

References 56 publications

A Driving-Adapt Strategy for the Electric Vehicle with Magneto-Rheological Fluid Transmission Considering the Powertrain Characteristics

A Driving-Adapt Strategy for the Electric Vehicle with Magneto-Rheological Fluid Transmission Considering the Powertrain Characteristics

Analysis of Performance Degradation in Lithium-Ion Batteries Based on a Lumped Particle Diffusion Model

BattX: An equivalent circuit model for lithium-ion batteries over broad current ranges

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