架線レス電車用の電池のオンラインｓｏｃ推定法

The authors developed a physics‐based equivalent circuit model of a lithium‐ion battery (LIB) whose parameters are continually updated, reflecting the theoretical calculation results of the Butler‐Volmer equation, diffusion equations of the lithium‐ion and lithium, and Nernst equations of the liquid and solid phases. The developed model was applied to the charge/discharge simulations of an LIB, and the experimental and simulated results of constant current discharges and pulsed‐charge/discharge were found to be in excellent agreement. In particular, using the developed model, analyzing transient responses of the LIB derived from the transition of the electric double layer charging to the electrode reaction is possible. These results demonstrate that the electrochemical performance of an LIB can be calculated on a circuit simulator using the developed model.

Section: Model Calculation Sequencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Physics‐based model of lithium‐ion batteries running on a circuit simulator

Sato

Kono

Urushibata

et al. 2019

“…A battery model typically consists of two parts: an open circuit voltage (OCV) and an overpotential [1,8,13,15]. A battery model typically consists of two parts: an open circuit voltage (OCV) and an overpotential [1,8,13,15].…”

Section: Detailed Battery Modelmentioning

confidence: 99%

SOC Estimation of HEV/EV Battery Using Series Kalman Filter

Baba

Adachi²

2014

This paper proposes a method of accurately estimating the state of charge (SOC) of rechargeable batteries in high fuel efficiency vehicles, such as hybrid electric vehicles (HEVs) and electric vehicles (EVs). Despite the importance of accurately estimating the SOC of batteries to achieve maximum efficiency and safety, no method thus far has been able to do so. This paper focuses on the simplification of a battery model, estimation of time-varying battery parameters, and estimation of SOC in the presence of measurement noise. To address these three issues, a model-based approach that uses a cascaded combination of two Kalman filters, "series Kalman filters," is proposed and implemented. This approach is verified by performing a series of simulations in an HEV operating environment. The ultimate goal is to design a state estimator capable of accurately estimating the state of any kind of batteries under every possible user condition. C⃝ 2014 Wiley Periodicals, Inc. Electr Eng Jpn, 187(2): 53-62, 2014; Published online in Wiley Online Library (wileyonlinelibrary.com).

“…Experimental estimation of the SOC with the conventional equivalent circuit is shown in Fig. 4 [9][10][11]. Figure 4(a) shows the current profile and the estimated SOC ob-tained from the conventional equivalent circuit.…”

Section: Conventional Equivalent Circuitmentioning

confidence: 99%

Online SOC Estimation of Battery for Wireless Tramcar

Miyamoto

Morimoto

Morita

2013

Self Cite

Wireless tramcars (battery-driven tramcars) are developing to the actual application stage. The most important information to be considered while operating a wireless tramcar is the state of charge (SOC) of the battery. The purpose of this study is to develop an online method for SOC estimation. This method employs a new equivalent circuit of a lithium-ion battery. SOC estimation using a conventional equivalent circuit results in a large error during fast current transients. In order to improve the accuracy of the estimation, we propose a new equivalent circuit of a lithium-ion battery. Because the parameters of the proposed equivalent circuit depend on temperature, we propose a new method for SOC estimation in which the temperature estimation is taken into account. This method requires only instantaneous values of the voltage and current, and therefore no temperature measurement is required.Experimental results show that the accuracy of the proposed method is significantly improved when the temperature is taken into account.