Modified electrochemical parameter estimation of NCR18650BD battery using implicit finite volume method

Ashwin, T.R.; McGordon, Andrew; Widanage, Widanalage Dhammika; Jennings, Paul

doi:10.1016/j.jpowsour.2016.12.023

Cited by 35 publications

(20 citation statements)

References 18 publications

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“…Marquardt algorithm is used to update the parametersθ θ θ iteratively to solve the nonlinear optimization problem [41]. This algorithm adaptively updates the parameter estimates via a hybridization of the gradient descent update and the Gauss-Newton update: 35…”

Section: Optimal Experimental Designmentioning

confidence: 99%

Optimal Experimental Design for Parameterization of an Electrochemical Lithium-Ion Battery Model

Park

Kato

Gima

et al. 2018

J. Electrochem. Soc.

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We consider the problem of optimally designing an excitation input for parameter identification of an electrochemical Li-ion battery model. The conventional approach to performing parameter identification uses standard test cycles. In contrast, we optimally design the input trajectory to maximize parameter identifiability in the sense of Fisher information. Specifically, we derive sensitivity equations for the electrochemical model. This approach enables parameter sensitivity analysis and optimal parameter fitting via gradient-based algorithms. This paper presents a general systematic approach to identify the electrochemical parameters in a non-invasive way. First, we group parameters into two sets: (i) equilibrium parameters, and (ii) dynamical parameters. We also divide the dynamical parameters into subsets by calculating orthogonalized sensitivity, which mitigates linear dependence between parameters. A large number of input profiles have been devised to constitute an input library. Then, the optimal inputs are selected from the input library to maximize the Fisher information, via convex programming. Using this framework a number of relevant experiments are obtained to parameterize. To validate our approach experimentally, we consider a 18650 Lithium nickel cobalt aluminum oxide battery. Compared to the conventional approach, our proposal achieves lower voltage RMSE across all experimental testing cycles.

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Section: Optimal Experimental Designmentioning

confidence: 99%

Optimal Experimental Design for Parameterization of an Electrochemical Lithium-Ion Battery Model

Park

Kato

Gima

et al. 2018

J. Electrochem. Soc.

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show abstract

“…Kim et al reported a two‐dimensional modeling method of the potential and current density distribution on the electrodes. Concerning about the Li‐ion transport phenomena in the porous electrode and electrolyte, a three‐dimension thermal/electrical/electrochemical coupled modeling of lithium‐ion battery coupling with porous electrode, mass conservation laws, and concentrated solution theories to accurately capture Li‐ion migration in the battery was developed . However, these models studied the behavior under normal operation extensively, which has limitations for describing mechanisms and abuse characteristics during the evolution process from normal operation to battery overheated and even thermal runaway.…”

Section: Randd Of Btm With Enhanced Safetymentioning

confidence: 99%

A review on research status and key technologies of battery thermal management and its enhanced safety

et al. 2018

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Summary The reliable protection of personal safety and vehicle service security has aroused the rising attention on battery thermal safety issues. This poses ongoing challenges for battery thermal management (BTM) to improve the safety by constantly learning and adopting advanced technologies from thermal management to thermal safety control. On the basis of electrochemical, mechanical, and thermo‐kinetic characteristics of battery behavior evolution under operational conditions of normal and abnormal, BTM with enhanced safety cannot only guarantee the battery operation performance but also improve thermo‐safety behavior with the heat transfer intensifying method. Additionally, via effective measurements to detect and warn the battery behavior evolution characteristics, the combination of emergency cooling, fire extinguishing, and thermal barrier adopted in BTM with enhanced safety can effectively and sufficiently suppress battery thermal overheating and its propagation. As concluded, the synthesized integration of basic BTM and its safety‐enhanced treatment can ensure the optimal working temperature range and prevent thermal overheating from propagation. Thus, the BTM system with enhanced safety has been a promising research priority. This article provides a comprehensive review on BTM with enhanced safety aiming to promote the battery application with high energy density, security, and cyclic stability served for electrification and intelligentization of automobiles. In addition, the summary of relevant research status and key technology is dedicated to improving BTM thermo‐safe design innovation and collaborative optimization, to fit with the sustainable development needs of the long‐term mechanism of energy conservation and green‐energy vehicles marketization.

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“…Based on the porous electrode theory and the 1D Butler-Volmer dynamic equation, they described the electrochemical reaction at the solid electrolyte interface (SEI). In addition, according to the Fick law, they could analyze the diffusion process of lithium ions inside the electrode [189,190]. Additionally, they applied the concentration diffusion equation to get the lithium-ion transportation in solid phase electrodes, liquid electrolytes and SEI [191].…”

Section: Co-simulation For Electric Vehiclementioning

confidence: 99%

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

et al. 2017

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Abstract:With the increasing demands for vehicle dynamic performance, economy, safety and comfort, and with ever stricter laws concerning energy conservation and emissions, vehicle power systems are becoming much more complex. To pursue high efficiency and light weight in automobile design, the power system and its vehicle integrated thermal management (VITM) system have attracted widespread attention as the major components of modern vehicle technology. Regarding the internal combustion engine vehicle (ICEV), its integrated thermal management (ITM) mainly contains internal combustion engine (ICE) cooling, turbo-charged cooling, exhaust gas recirculation (EGR) cooling, lubrication cooling and air conditioning (AC) or heat pump (HP). As for electric vehicles (EVs), the ITM mainly includes battery cooling/preheating, electric machines (EM) cooling and AC or HP. With the rational effective and comprehensive control over the mentioned dynamic devices and thermal components, the modern VITM can realize collaborative optimization of multiple thermodynamic processes from the aspect of system integration. Furthermore, the computer-aided calculation and numerical simulation have been the significant design methods, especially for complex VITM. The 1D programming can correlate multi-thermal components and the 3D simulating can develop structuralized and modularized design. Additionally, co-simulations can virtualize simulation of various thermo-hydraulic behaviors under the vehicle transient operational conditions. This article reviews relevant researching work and current advances in the ever broadening field of modern vehicle thermal management (VTM). Based on the systematic summaries of the design methods and applications of ITM, future tasks and proposals are presented. This article aims to promote innovation of ITM, strengthen the precise control and the performance predictable ability, furthermore, to enhance the level of research and development (R&D).

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Modified electrochemical parameter estimation of NCR18650BD battery using implicit finite volume method

Cited by 35 publications

References 18 publications

Optimal Experimental Design for Parameterization of an Electrochemical Lithium-Ion Battery Model

Optimal Experimental Design for Parameterization of an Electrochemical Lithium-Ion Battery Model

A review on research status and key technologies of battery thermal management and its enhanced safety

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

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