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Design and Optimization of Inverse Sinusoidal PWM-Based Battery Charging Systems for Electric Vehicles
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Keywords
Electric Vehicles
Battery Charging
, Inverse Sinusoidal PWM
Harmonic Reduction
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Abstract
The increasing penetration of electric vehicles (EVs) in global transportation systems has created an urgent need for efficient, reliable, and safe battery charging methodologies. Conventional pulse-width modulation (PWM) strategies, although widely adopted, are associated with significant harmonic distortion, uneven thermal loading of power electronic devices, and suboptimal energy utilization, which collectively limit battery performance, longevity, and overall system efficiency (W. Luo, et al., 2010; Y. Hsu and S. Chang, 2010). To address these limitations, this study investigates the design and optimization of inverse sinusoidal pulse-width modulation (IS-PWM) for EV battery charging systems. Unlike traditional sinusoidal or conventional PWM, IS-PWM redistributes pulse widths to concentrate narrower pulses near waveform peaks and broader pulses near zero crossings, effectively reducing high-order harmonic amplitudes while maintaining accurate average voltage delivery. This approach mitigates thermal stress in power semiconductor devices and improves charging efficiency, particularly under dynamic load conditions and varying battery state-of-charge (SOC).
A comprehensive analytical framework is developed to model the harmonic characteristics and thermal behavior of IS-PWM-based charging systems. Fourier analysis is employed to quantify harmonic attenuation, while thermal modeling of semiconductor junctions predicts temperature distribution under real-world operating scenarios. The study further integrates digital control algorithms to dynamically adjust pulse widths based on SOC, load demand, and battery voltage thresholds, ensuring adaptive operation and enhanced energy utilization. Simulations and experimental validation demonstrate significant reductions in total harmonic distortion (THD), improved thermal profiles, and up to 12% improvement in charging efficiency compared to conventional PWM techniques. Additionally, the study highlights trade-offs in pulse width design, showing that optimal harmonic mitigation may require balancing peak current constraints against energy transfer efficiency.
Critical insights from the research emphasize the practical implications of IS-PWM for EV charging infrastructure. The optimized methodology not only prolongs battery lifespan by minimizing localized degradation and overcharging stress but also reduces EMI effects on connected electronic systems, enhancing overall power quality. Furthermore, the study identifies potential limitations, including increased computational complexity in real-time digital control and sensitivity of harmonic suppression to variations in load profiles. These findings provide a rigorous foundation for the design of next-generation high-efficiency, low-harmonic EV chargers and establish IS-PWM as a viable alternative to conventional modulation strategies (Z. Z. Hua and W. W. Yan, 2010).
In conclusion, this research demonstrates that IS-PWM-based battery charging systems offer superior performance in harmonic mitigation, thermal management, and energy efficiency. The integration of adaptive digital control further enhances system robustness, supporting the broader adoption of EVs while advancing sustainable energy practices. The study contributes to both theoretical understanding and practical implementation of advanced modulation techniques, providing a replicable framework for engineers, researchers, and policymakers aiming to optimize EV charging infrastructure.
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