2016
DOI: 10.4236/cs.2016.71002
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Modeling of a Lithium-Ion Capacitor and Its Charging and Discharging Circuit in a Model-Based Design

Abstract: For several years now, electric vehicles (EVs) have been expected to become widely available in the micro-mobility field. However, the insufficiency of such vehicles' battery-charging and discharging performance has limited their practical use. A hybrid energy storage system, which comprises a capacitor and battery, is a promising solution to this problem; however, to apply model-based designs, which are indispensable to embedded systems, such as the electronic control units used in EVs, a simple and accurate … Show more

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Cited by 10 publications
(2 citation statements)
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“…Figure 8 b depicts a classical ECM for which a parallel resistor is added to the previous ECM to consider the self-discharge phenomenon [ 53 ]. Figure 8 c illustrates the same topology, in which the overall resistance was split up to the charge/discharge resistances, while three capacitors (C 0 , C 1 , C 2 ) are available in the model in parallel connection [ 54 ].…”
Section: 1d Electrical Thermal and Lifetime Modelingmentioning
confidence: 99%
“…Figure 8 b depicts a classical ECM for which a parallel resistor is added to the previous ECM to consider the self-discharge phenomenon [ 53 ]. Figure 8 c illustrates the same topology, in which the overall resistance was split up to the charge/discharge resistances, while three capacitors (C 0 , C 1 , C 2 ) are available in the model in parallel connection [ 54 ].…”
Section: 1d Electrical Thermal and Lifetime Modelingmentioning
confidence: 99%
“…This is because the leakage resistance is much larger than the series resistance, therefore it has no significant effect on the performance of the model for an analysis lasting for a short duration. Another derivation from the classical equivalent circuit model was done by Nakajo et al [57]. The authors replaced the capacitance C in the classical equivalent circuit model with a variable capacitor.…”
Section: Classical Equivalent Circuit Modelmentioning
confidence: 99%