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State of charge

About: State of charge is a research topic. Over the lifetime, 12013 publications have been published within this topic receiving 201419 citations. The topic is also known as: SoC & SOC.


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Patent
14 Oct 2008
TL;DR: In this paper, a method for operating a powertrain system includes monitoring a state of charge of an energy storage device and determining an effective state-of-charge (SOC) based on the monitored SOC and a range of available power from the ESS device.
Abstract: A method for operating a powertrain system includes monitoring a state of charge of an energy storage device and determining an effective state of charge based upon the monitored state of charge of the energy storage device and a range of available power from the energy storage device. A preferred output power to an output member is determined. A preferred charge state for operating the powertrain is concurrently selected with operating an engine in one of a cylinder deactivation state and an all-cylinder state based upon the effective state of charge and the preferred output power to the output member.

130 citations

Journal ArticleDOI
TL;DR: This paper investigates how load cycle and calendar life properties affect the lifetime and aging processes of Li-ion cells at low temperatures, and develops and adds a preliminary single-cell electrothermal model to establish a thermal strategy capable of predicting how the cell ages.
Abstract: Lithium-ion (Li-ion) batteries widely used in electric vehicles (EVs) and hybrid EVs (HEVs) are insufficient for vehicle use after they have degraded to 70% to 80% of their original capacity. Battery lifespan is a large consideration when designing battery packs for EVs/HEVs. Aging mechanisms, such as metal dissolution, growth of the passivated surface film layer on the electrodes, and loss of both recyclable lithium ions, affect the longevity of the Li-ion battery at high-temperature operations. Even vehicle maneuvers at low temperatures $(T contribute to battery lifetime degradation, owing to the anode electrode vulnerability to other degradation mechanisms such as lithium plating. Nowadays, only a few battery thermal management schemes have properly considered low-temperature degradation. This is due to the lack of studies on aging of Li-ion batteries at subzero temperature. This paper investigates how load cycle and calendar life properties affect the lifetime and aging processes of Li-ion cells at low temperatures. Accelerated aging tests were used to determine the effect of the ambient temperature on the performance of three 100-Ah LiFeMnP04 Li-ion cells. Two of them were aged through a normalized driving cycle at two temperature tests ( $-\mbox{20}\ ^\circ\mbox{C}$ and 25 °C). The calendar test was carried out on one single battery at –20 °C and mid-range of state of charge (50%). Their capacities were continuously measured every two or three days. An aging model is developed and added to a preliminary single-cell electrothermal model to establish, in future works, a thermal strategy capable of predicting how the cell ages. This aging model was then validated by comparing its predictions with the aging data obtained from a cycling test at 0 °C.

129 citations

Journal ArticleDOI
TL;DR: In this article, a new charging strategy of lithium-polymer batteries (LiPBs) has been proposed based on the integration of Taguchi method (TM) and state of charge estimation.

129 citations

Journal ArticleDOI
TL;DR: It is shown that the resistance estimated from any technique can be identified – to a high level of confidence – from EIS by matching their timescales, given that EIS is a perturbative characterisation technique, employing a spectrum of perturbation frequencies.
Abstract: The power capability of a lithium ion battery is governed by its resistance, which changes with battery state such as temperature, state of charge, and state of health. Characterizing resistance, therefore, is integral in defining battery operational boundaries, estimating its performance and tracking its state of health. There are many techniques that have been employed for estimating the resistance of a battery, these include: using DC pulse current signals such as pulse power tests or Hybrid Pulse Power Characterization (HPPC) tests; using AC current signals, i.e., electrochemical impedance spectroscopy (EIS) and using pulse-multisine measurements. From existing literature, these techniques are perceived to yield differing values of resistance. In this work, we apply these techniques to 20 Ah LiFePO4/C6 pouch cells and use the results to compare the techniques. The results indicate that the computed resistance is strongly dependent on the timescales of the technique employed and that when timescales match, the resistances derived via different techniques align. Furthermore, given that EIS is a perturbative characterisation technique, employing a spectrum of perturbation frequencies, we show that the resistance estimated from any technique can be identified – to a high level of confidence – from EIS by matching their timescales.

129 citations

Patent
30 Apr 1993
TL;DR: An improved electronic device for testing or monitoring storage batteries (24) that may be only partially charged is presented in this article, where the battery's small-signal dynamic conductance is determined in order to provide either a proportional numerical readout, displayed in appropriate battery measuring units, or a corresponding qualitative assessment of battery's relative condition based upon its dynamicconductance and electrical rating.
Abstract: An improved electronic device for testing or monitoring storage batteries (24) that may be only partially charged. The device determines the battery's small-signal dynamic conductance in order to provide either a proportional numerical readout, displayed in appropriate battery measuring units, or a corresponding qualitative assessment of the battery's relative condition based upon its dynamic conductance and electrical rating. The device also determines the battery's terminal voltage in an essentially unloaded condition and utilizes this information to automatically correct the measured dynamic conductance.

129 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023692
20221,326
2021926
20201,245
20191,285
20181,147