No abstract

As more and more unconventional energy sources are being applied in the field of power generation, the frequency fluctuation of power system becomes more and more serious. The frequency modulation of thermal power unit has disadvantages such as long response time and slow climbing speed. Battery energy storage has gradually become a research hotspot in power system frequency modulation due to its quick response and flexible regulation. This article first introduced the control method based on the signal of ACE (Area Control Error), which is the basic way of secondary frequency modulation and analyzed the features of the basic control mode. Then it zoned the signal of ACE and SOC of the battery energy storage system. On this basis, different frequency modulation methods were proposed according to the requirements of frequency modulation and the characteristics of the output of different regions. In addition, the fuzzy controller is used to smooth the output of the energy storage system under the normal adjustment of the regional control deviation and the normal charging and discharging state of SOC. Finally, a two-region interconnection simulation system was established based on the MATLAB simulation platform, and the simulation results verified the effectiveness of the proposed control strategy.

The fuel-saving advantages of plug-in hybrid electric vehicles can be improved using optimized configurations and appropriate energy management strategies. However, the noticeable jerks and vibrations of the powertrain can be generated by torque fluctuations in the mode transition (MT), especially, the transition from electric mode to hybrid driving mode that involves engine starting. To address this problem, this paper proposes a dynamic coordinated control strategy that synergizes real-time discrete motor torque change rate limitation (TCRL) and active damping feedback compensation (ADFC) control. First, a detailed vehicle powertrain simulation model is established and validated. The relevant problems in the MT are analyzed by the experimental data. Second, the algorithms relevant to the torque distribution of the power source and the real-time discrete motor TCRL are designed from the kinematic and dynamic relationships of the powertrain at each stage. Considering model inaccuracies, system parameter uncertainties, and load changes, an ADFC is designed based on real-time robust drive shaft torque observer. Moreover, the optimal observer gain is obtained by genetic algorithm under the linear matrix inequalities (LMIs) restriction to improve the robustness of the observer. Finally, the simulation and experimental results indicate that the proposed TCRL-ADFC method can effectively reduce the powertrain shocks and improve the ride comfort.INDEX TERMS Active damping feedback compensation, coordinated control, genetic algorithm, mode transition, torque change rate limitation.

-The offline verification of state of charge estimation, power estimation, fault diagnosis and emergency control of battery management system (BMS) is one of the key technologies in the field of electric vehicle battery system. It is difficult to test and verify the battery management system software in the early stage, especially for algorithms such as system state estimation, emergency control and so on. This article carried out the virtual environment modeling for verification of battery management system. According to the input/output parameters of battery management system, virtual environment is determined to run the battery management system. With the integration of the developed BMS model and the external model, the virtual environment model has been established for battery management system in the vehicle's working environment. Through the virtual environment model, the effectiveness of software algorithm of BMS was verified, such as battery state parameters estimation, power estimation, fault diagnosis, charge and discharge management, etc.

Abstract