Topic
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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TL;DR: Simulation results show that the proposed method significantly outperforms the rule-based method, and the average improvement could be over 40% in the studied driving cycles.
73 citations
TL;DR: In this article, an adaptive, multi-parameter battery state estimator based on the direct solution of the differential equations that govern an equivalent circuit representation of the battery is presented.
73 citations
TL;DR: The combination of an Autoencoder neural network and a Long Short-Term Memory (LSTM) neural network is proposed for the estimation of the SOC of a battery with high precision and is observed that the SOC estimation by the proposed method yields to a significantly better accuracy at all three temperatures.
73 citations
TL;DR: The proposed adaptive observers are shown to be robust with respect to unmodeled process uncertainties and the design tradeoff between the convergence rate and the robustness of the estimation error dynamics withrespect to the measurement noise is shown.
Abstract: This paper considers the state of charge (SoC) and parameter estimation of lithium-ion batteries. Different from various prior arts, where estimation is based on local linearization of a nonlinear battery model, nonlinear geometric observer approach is followed to design adaptive observers for the SoC and parameter estimation based on nonlinear battery models. A major advantage of the proposed approach is the possibility to establish the exponential stability of the resultant error dynamics of state and parameter estimation. The proposed adaptive observers are shown to be robust with respect to unmodeled process uncertainties. Analysis also shows the design tradeoff between the convergence rate and the robustness of the estimation error dynamics with respect to the measurement noise. Simulation and experimental results validate the effectiveness and main advantages of the proposed approach. Error analysis is presented and explains the experimental results.
73 citations
Patent•
08 Aug 1990TL;DR: In this paper, a method for measuring and storing the state of charge of batteries, such as used in electric vehicles, is presented, which is based on the value of battery terminal voltage measured prior to connection of the battery to the load, e.g. the traction motor.
Abstract: A method for measuring and storing the state of charge of batteries, such as used in electric vehicles. The stored charge value is initially derived from the value of battery terminal voltage measured prior to connection of the battery to the load, e.g. the traction motor. While the battery is connected to the load, approximated state of charge values are periodically derived by adding a correction voltage, comprising the product of measured load current and of a predetermined value of internal resistance, to the measured terminal voltage of the battery. The stored and approximated state of charge values are periodically compared and the stored state of charge value is decremented by a predetermined increment in response to the stored charge value having exceeded the approximated state of charge value during each of a predetermined plurality consecutive comparisons.
73 citations