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In this paper, a higher fidelity battery equivalent circuit model incorporating asymmetric parameter values is presented for use with battery state estimation (BSE) algorithm development; particular focus is given to state-of-power (SOP) or peak power availability reporting. A practical optimization-based method is presented for model parameterization fitting. Two novel model-based SOP algorithms...
This paper discusses the commonly used techniques to estimate the state of health (SOH) and state of function (SOF) of lithium ion batteries and their limitations. Factors affecting the health and SOF of the battery are discussed in this paper. The SOH of the battery is mainly represented by the capacity degradation and the increase in the internal resistance. The other indices that could represent...
Batteries are becoming integral part of day to day life with increase in local generation. A more effective battery monitoring and Management techniques are required to maintain the batteries. Impedance based monitoring is becoming a very effective procedure to do the same. Various techniques have been proposed. The Randels model is the most appropriate circuit to explain the phenomenon of the battery...
Impedance as one of the most important parameters of a battery has been studied a lot. While most works only consider the impedance is related with the state-of-charge (SOC), very little attention has been put upon the rate dependence of impedance. In this work, the impedance of a battery has been considered to be dependent on the SOC and the charging or discharging rate. A series of charging and...
In this paper, dual extended Kalman filter is implemented to estimate SoC, internal resistance and capacitance of the super-capacitors applied in hybrid electric vehicles(HEVs) simultaneously based on its first-order equivalent circuit. Both simulation and experiment are carried out to verify the performance of the algorithm. Simulation results demonstrate that the algorithm reduces the estimate errors...
Internal resistance is an important element for lithium-ion batteries in battery management system (BMS) for battery energy storage system (BESS). The internal resistance consists of ohmic resistance and polarization resistance. Neither of them can be measured directly and they are identified by some algorithms with battery charging/discharging experiment data. In this paper, several 10Ah LiFePO4...
Battery is the major energy storage source of electric vehicles (EVs), which makes the accurate estimation of State-of-Charge (SOC) very crucial. Various SOC estimation methods have been proposed in recent years. Among of them, Ah method is widely used due to its easy implementation. This paper presents an energy method for SOC estimation of power lithium-ion battery, which is based on the law of...
Li-ion batteries have found an ever-increasing role in automotive, space and marine industries, and safety aspects became a top priority, particularly for large size batteries. Therefore, there has been an increasing need for accurate and reliable monitoring of the battery in real-time. The battery is a dynamic system and its parameters are changing with time. They are also very dependent on the operation...
In order to obtain the accurate estimation of SOC (State of Charge) and predicted lithium battery SOH (State of Healthy), this article is based upon the internal resistance of the battery model. By using UKF method, the estimation of SOC and SOH can be carried out in the nonlinear conditions. The UKF algorithm considers the internal resistance of the model parameters and SOC as the state parameters...
This paper investigates a new approach based on the fuzzy logic-controlled methodology that is suitable for analyzing and evaluating large format LiMn2O4 cell performance via online state-of-health (SOH) prediction for energy storage system (ESS) applications. The proposed method for online SOH prediction is comprised of two parts. First of all, the values of the cell resistance R and maximum cell...
State-of-charge (SOC) estimation is an important task in a general battery management system (BMS). As a value that cannot be measured directly, the SOC is usually indicated by a method based on the characteristics of the battery with the voltage, current and temperature. In this paper, an extended Kalman filter (EKF) algorithm has been introduced to estimate SOC. A circuit model of a LiFePO4/C battery...
An effective management of the onboard energy storage system is a key point for the development of electric vehicles. This requires the accurate estimation of the battery state over time and in a wide range of operating conditions. The battery state is usually expressed as state-of-charge and state-of-health. Its estimation demands an accurate model to represent the static and dynamic behaviour of...
With the increasing complexity of circuit design, CPU and chipset electrical design target has changed and continue to be more stringent. Power delivery design is getting more challenging to ensure no device functional failure in low power and low cost product. Therefore, platform power delivery engineer is playing an essential role in implementing robust electrical solution. Despite of all these,...
An adaptive algorithm for battery state of charge (SOC) estimation is presented in this paper to solve the critical issue of calculating the remaining energy of battery in hybrid electric vehicle (HEV). To obtain a more accurate SOC estimation value, both coulomb-accumulation and open-circuit voltage contributions are considered in this study. The extended Kalman filter (EKF) theory which has good...
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