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This work investigates an approach to combining accurate lithium-ion battery (LIB) dynamic modeling and effective state-of-charge (SOC) prediction at various operating conditions using a structured recurrent neural network (RNN). The RNN model is trained with drive cycle data so that model parameters do not have to be determined with characterization tests, as is typically necessary for an equivalent...
This work investigates how the aging of lithium-ion batteries is influenced by several less well-known properties of different vehicle drive profiles. It is demonstrated that the RMS current value is a statistically significant aging factor for the case of dynamic drive profiles, extending the results of previous work that focused on steady-state discharge current waveforms. In addition, a quantitative...
An improved nonlinear model for the electrode voltage–current relationship for online battery system identification is proposed. In contrast to the traditional linear-circuit model, the new approach employs a more accurate model of the battery electrode nonlinear steady-state voltage drop based on the Butler–Volmer (BV) equation. The new form uses an inverse hyperbolic sine approximation for the BV...
This paper discusses the performance of an interior permanent magnet synchronous machine by using deadbeat-direct torque flux control (DB-DTFC) in a hybrid power circuit structure, which consists of an indirect matrix converter (IMC) and a reactor free boost converter (RFBC). The first section of this paper documents the performance of DB-DTFC when carrier comparison PWM and space vector modulation...
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