Xu Zhang

University of Science and Technology of China | USTC · Department of Automation

Explicit analyses of power capability with multiple constraints are elaborated. • The extended Kalman filter is employed for on-board power capability prediction. • The detailed prediction process and implementations are graphically displayed. • The power capability is quantitatively assessed under dynamic loading schedules. • The maximum charge/di...

Explicit analyses of power capability with multiple constraints are elaborated. • The extended Kalman filter is employed for on-board power capability prediction. • The detailed prediction process and implementations are graphically displayed. • The power capability is quantitatively assessed under dynamic loading schedules. • The maximum charge/di...

Due to the energy crisis and environmental pollution, electric vehicles have become more and more popular. Compared to traditional fuel vehicles, the electric vehicles are integrated with more high-voltage components, which have potential security risks of insulation. The insulation resistance between the chassis and the direct current bus of the b...

The low frequency signal injection topology is applied for insulation detection. • The Kalman filter is applied to improve the signal to noise ratio. • The recursive least squares algorithm is applied to solve the result mutation. • The robustness of the algorithm is verified by static and dynamic experiments. A B S T R A C T Due to the energy cris...

The state-of-health (SOH) estimation is always a crucial issue for lithium-ion batteries. In order to provide an accurate and reliable SOH estimation, a novel Gaussian process regression (GPR) model based on charging curve is proposed in this paper. Different from other researches where SOH is commonly estimated by cycle life, in this work four spe...

A Gaussian process regression model is proposed for SOH estimation. • Four features are extracted from charging curves as model inputs. • Grey relational analysis is applied to analyze the relational degree of features. • The method is proven to be accurate by the batteries from NASA dataset. • A battery with dynamic profile is used to verify the r...

The battery state of energy and state of power are two important parameters in battery usage. The state of energy represents the residual energy storage in battery and the state of power represents the ability of battery discharge/charge. To estimate the two states with high accuracy, the characteristics of battery maximum available capacity and op...

The equivalent circuit model is estimated for battery states estimation. • Battery peak current is analyzed by multi-constrained conditions. • A novel multi-timescale observer is used to estimate SOE and SOP concurrently. • The accuracy of the proposed method is verified under different conditions. A B S T R A C T The battery state of energy and st...

An accurate battery pack state of health (SOH) estimation is important to characterize the dynamic responses of battery pack and ensure the battery work with safety and reliability. However, the different performances in battery discharge/charge characteristics and working conditions in battery pack make the battery pack SOH estimation difficult. I...

Keywords: Battery pack state of health Particle swarm optimization-genetic algorithm Particle filter Battery pack model A B S T R A C T An accurate battery pack state of health (SOH) estimation is important to characterize the dynamic responses of battery pack and ensure the battery work with safety and reliability. However, the different performan...

One of the most important tasks of battery management systems is to estimate the battery states and make the battery work with safety and high efficiency. The battery remaining discharge energy represents the unused energy storage in battery energy storage systems and the ability of battery discharge/charge. In this paper, to estimate the battery r...

The power capability of the lithium-ion battery is a key performance indicator for electric vehicle, and it is intimately correlated with the acceleration, regenerative braking and gradient climbing power requirements. Therefore, an accurate power capability or state-of-power prediction is critical to a battery management system, which can help the...

The power capability of the lithium-ion battery is a key performance indicator for electric vehicle, and it is intimately correlated with the acceleration, regenerative braking and gradient climbing power requirements. Therefore, an accurate power capability or state-of-power prediction is critical to a battery management system, which can help the...

One of the most important tasks of battery management systems is to estimate the battery states and make the battery work with safety and high efficiency. The battery remaining discharge energy represents the unused energy storage in battery energy storage systems and the ability of battery discharge/charge. In this paper, to estimate the battery r...

One of the most important tasks of battery management systems is to estimate the battery states and make the battery work with safety and high efficiency. The battery remaining discharge energy represents the unused energy storage in battery energy storage systems and the ability of battery discharge/charge. In this paper, to estimate the battery r...

Accurate estimation of battery pack remaining discharge energy is a crucial challenge to the battery energy storage systems. In this paper, a new method of battery pack remaining discharge energy estimation is proposed using the recursive least square-unscented Kalman filter. To predict the remaining discharge energy precisely, the inconsistency of...

h i g h l i g h t s Remaining discharge energy is initiated for battery pack. Temperature is taken into consideration in battery pack model description. Battery inconsistency is considered to analyze the battery usage efficiency. The accuracy and robustness of the method is verified by dynamic profiles. Keywords: Remaining discharge energy Degree o...

This article provides the dataset of operating conditions of battery behavior. The constant current condition and the dynamic stress test (DST) condition were carried out to analyze the battery discharging and charging features. The datasets were achieved at room temperature, in April, 2016. The shared data contributes to clarify the battery pack s...

This article provides the dataset of operating conditions of battery behavior. The constant current condition and the dynamic stress test (DST) condition were carried out to analyze the battery discharging and charging features. The datasets were achieved at room temperature, in April, 2016. The shared data contributes to clarify the battery pack s...

Accurate estimation of battery pack state-of-charge plays a very important role for electric vehicles, which directly reflects the behavior of battery pack usage. However, the inconsistency of battery makes the estimation of battery pack state-of-charge different from single cell. In this paper, to estimate the battery pack state-of-charge on-line,...

Accurate estimation of battery pack state-of-charge plays a very important role for electric vehicles, which directly reflects the behavior of battery pack usage. However, the inconsistency of battery makes the estimation of battery pack state-of-charge different from single cell. In this paper, to estimate the battery pack state-of-charge on-line,...

In this paper, the control theory is applied to assist the estimation of state of health (SoH) which is a key parameter to battery management. Battery can be treated as a system, and the internal state, e.g. SoH, can be observed through certain system output data. Based on the philosophy of human health and athletic ability estimation, variables fr...

h i g h l i g h t s The data-driven model is established for battery state-of-charge estimation. The neural network model is established for battery state-of-energy estimation. The probability based estimation method is employed for battery state estimation. The HPPC/DST/UDDS profiles are performed for experiment verification. a b s t r a c t Since...

The state-of-energy is an important evaluation index for energy optimization and management of power battery systems in electric vehicles. Unlike the state-of-charge which represents the residual energy of the battery in traditional applications, state-of-energy is integral result of battery power, which is the product of current and terminal volta...