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Power battery is the heart of electric vehicles, and the accurate state of charge (SOC) estimation is crucial for the management of the power battery. This paper proposes an adaptive strong tracking unscented Kalman filter (ASTUKF) algorithm to estimate the SOC of lithium-ion battery. This method doesn't need to compute the Jacobian matrix compared with the traditional strong tracking filter. This...
A novel fractional-order Kinetic Battery Model (KiBaM) is proposed to accurately describe the battery nonlinear characteristic of the available capacity under discharge. Firstly, the influence of different discharge current on battery available and unavailable capacity is analyzed. Then, with the theory of fractional calculus, a novel KiBaM model model equation is proposed to characterize the battery...
The state of charge (SOC) of Lithium-ion batteries is one of the most critical indexes for battery management system (BMS) in electric vehicles (EV) and hybrid electric vehicles (HEV). To improve SOC estimation performance and reduce chattering effect caused by conventional sliding mode observer (SMO), a novel sliding mode observer is presented in this paper. The switching gains of the proposed observer...
VIENNA rectifier with simple structure, which is widely used in charging systems for electric vehicle, realizes the operation of unit power factor and low harmonic. However, grid voltage unbalance will aggravate the dc-link voltage ripple and input current THD. A novel control scheme is presented to solve the impacts of three unbalanced grid voltage for VIENNA rectifier in this paper. The enhanced...
Accurately modeling the dynamic behavior of a lithium-ion battery is one of the major themes for researches on state of charge (SOC) estimation. A large number of experiments were performed at different discharge rates and operating temperatures for three compact lithium-ion batteries aiming at determining the relationship of open circuit voltage (OCV) with SOC. The curve of OCV-SOC is approximated...
The exact battery model has always been a thorny problem in battery management system (BMS). In order to meet the actual working conditions, battery model parameters should be identified from a variety of experimental data (charging, discharging and rest periods). In this paper, we propose a parameter identification method based on iterative learning for the equivalent circuit battery models. This...
As the power source of electric vehicles, lithium-ion batteries directly affect the performance and life of electric vehicles. The charging strategy of lithium-ion battery directly affects the charging speed, energy consumption and life of the battery. In view of above problems, the multi-segment constant current charging strategy of lithium-ion battery is designed and the particle swarm optimization...
This paper presents a state-of-health (SOH) estimation method for lithium-ion batteries in electric vehicles, by identifying the bulk capacitance of its equivalent RC circuit model. A novel algorithm is discussed to derive the attenuation factor of the bulk capacitance in different cycles. A discrete nonlinear observer is also designed so that the bulk capacitance can be successfully identified to...
Reliable and accurate models are urgently needed for research on the control strategies to promote the energy conversion efficiency in compress air energy storage (CAES) system. This paper mainly studies expansion and power generation, which is called the scroll expander generator system with the permanent magnet synchronous generator (PMSG) using the rectifier and buck circuit. Considering influence...
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