| Abstrak/Abstract |
Mitigating pollution in the transportation sector necessitates the deployment of zero-
emission solutions, such as electric vehicles (EVs). One significant challenge with EVs
is the limited lifespan of the battery, a key and costly component. To circumvent this
issue, a potential solution lies in the integration of batteries with supercapacitors to
create a Hybrid Energy Storage System (HESS). This combination can notably decrease
the peak current of the battery, thereby prolonging its lifespan, and ultimately,
contributing to the long-term cost-effectiveness of EVs. A critical component of the
HESS is the Energy Management Strategy (EMS), tasked with optimizing energy
distribution. A Low-Pass Filter (LPF) serves as an uncomplicated, real-time EMS. The
current study introduces a novel approach for determining the optimal cut-off frequency
of the LPF, termed the Ragone Plot with Fine Tuning (RPFT). The Ragone plot provides
a general cut-off frequency for the battery and drive cycle, while fine-tuning is
employed to optimize it. Simulation results reveal that the RPFT method outperforms
the Fast Fourier Transform (FFT) method, thereby proving its efficacy. The application
of RPFT resulted in a reduction of battery peak current and battery current root mean
square (BCRMS) by up to 29.80% and 9.99%, respectively. This study offers valuable
insights for improving energy management in electric vehicles and underscores the
potential of the RPFT method in extending battery lifespan and enhancing the cost-
effectiveness of EVs |
