A procedure to predict the state of charge of a lithium ion cell using experimental data (cell potential versus time), as it becomes available, is resented. The procedure is based on the physics of the system and provides a realistic estimate of the state of charge of the cell as a function of ime, for a given set of properties of the electrodes. An electrochemical cell model is used to obtain ...

Electrochemical reaction behavior of a commercial Li-ion battery (LiFePO4-based cathode, graphite-based anode) has been measured via in-situ neutron diffraction. Multivariate analysis was successfully applied to the neutron diffraction dataset facilitating in the determination of Li bearing phases participating in the electrochemical reaction in both the anode and cathode as a function of state...

Shortest Path Stochastic Control for Hybrid Electric Vehicles Ed Tate, J.W. Grizzle, Huei Peng Abstract: When a Hybrid Electric Vehicle (HEV) is certified for emissions and fuel economy, its power management system must be charge sustaining over the drive cycle, meaning that the battery state of charge (SOC) must be at least as high at the end of the test as it was at the beginning of the test....

Despite the fundamental importance of state of health (SOH) and state of charge (SOC) measurement to lithium-ion battery systems, the determination of these parameters is challenging and remains an area of active research. Here we propose a novel method of SOH/SOC determination using mechanical measurements. We present the results of long term aging studies in which we observe stack stress to b...

Open-Circuit-Voltage (OCV) is an essential part of battery models for state-of-charge (SOC) estimation. In this paper, we propose a new parametric OCV model, which considers the staging phenomenon during the lithium intercalation/deintercalation process. Results show that the new parametric model improves SOC estimation accuracy compared to other existing OCV models. Moreover, the model is show...

In this paper, a numerical solution of the optimal thermal management problem for a parallel hybrid electric vehicle is presented by taking into account the engine temperature. This temperature influences the fuel consumption and has a dynamical behavior which is controlled by the engine torque. Simulation results are presented to evaluate the benefit of adding this new state variable to the op...

Estimation of state of charge (SOC) is of great importance for lithium-ion (Li-ion) batteries used in electric vehicles. This paper presents a state of charge estimation method using nonlinear predictive filter (NPF) and evaluates the proposed method on the lithium-ion batteries with different chemistries. Contrary to most conventional filters which usually assume a zero mean white Gaussian pro...

Real-time prediction of state-of-charge (SOC), state-ofhealth (SOH) and state-of-life (SOL) plays an essential role in many battery energy storage applications, such as electric vehicle (EV), hybrid electric vehicle (HEV) and smart power grid. However, among these three quantities, only the SOC has been thoroughly studies while there is still lack of rigorous research efforts on the other two q...