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James Marco

Researcher at University of Warwick

Publications -  179
Citations -  4490

James Marco is an academic researcher from University of Warwick. The author has contributed to research in topics: Battery (electricity) & Electric vehicle. The author has an hindex of 28, co-authored 171 publications receiving 2776 citations. Previous affiliations of James Marco include University of Leicester & Cranfield University.

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A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems

TL;DR: In this paper, the authors compare incremental capacity and differential voltage (IC-DV) and electrochemical impedance spectroscopy (EIS) on the same data set to evaluate if both techniques provide similar insights into the causes of battery degradation.
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Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique

TL;DR: In this article, a decoupled weighted recursive least squares (DWRLS) method is proposed to estimate the parameters of the battery fast and slow dynamics separately, which circumvents an additional full-order observer for battery estimation.
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Modelling and experimental evaluation of parallel connected lithium ion cells for an electric vehicle battery system

TL;DR: In this article, the impact of connecting cells with varied properties in parallel and the issues regarding energy imbalance and battery management that may arise was explored through analysing experimental data and a validated model, and significant differences in current flow can occur between cells within a parallel stack that will affect how the cells age and the temperature distribution within the battery assembly.
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The effects of high frequency current ripple on electric vehicle battery performance

TL;DR: In this article, the authors investigated the long-term impact of current ripple on battery performance degradation and found that both capacity fade and impedance rise progressively increase as the frequency of the superimposed AC current increases.
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On the possibility of extending the lifetime of lithium-ion batteries through optimal V2G facilitated by an integrated vehicle and smart-grid system

TL;DR: In this article, the authors developed a comprehensive battery degradation model based on long-term ageing data collected from more than fifty longterm degradation experiments on commercial C6/LiNiCoAlO2 batteries.