Wireless Inductive Battery Charger — Simulation & Power Modeling

Abstract — Wireless Inductive Battery Charger

Wireless Inductive Battery Charger: Power Electronics, MATLAB/Simulink & Circuit Modeling Integrated Analysis: MATLAB/Simulink · MOSFET/IGBT Gate Drivers · SPWM/SVPWM · THD Spectrum · ~12066 Words Chapter 1: Power Electronics Overview, System Specifications & Topology Modeling EV Charging in MATLAB Simulink with CC-CV Control using wireless is a MATLAB-based technical project and simulation model. Wireless Electric Vehicle (EV) charging, also known as Wireless Power Transfer (WPT), is an emerging technology that enables convenient, contactless charging of EVs through electromagnetic induction. Unlike traditional plug-in chargers, wireless systems eliminate the need for physical connectors, improving user experience, safety, and reliability. One of the critical aspects of EV battery charging is the Constant Current - Constant Voltage (CC-CV) control strategy. In the CC phase, the charger delivers a constant current to quickly charge the battery up to a certain State of Charge (SOC). Once the battery voltage reaches a threshold, the system switches to the CV phase to prevent overcharging and maintain battery health. This blog explores the complete design and simulation of a Wireless EV Charging system with CC-CV control using MATLAB Simulink. The model integrates inductive power transfer coils, resonant compensation networks, power converters, and intelligent battery charging control making it highly relevant for researchers, students, and engineers working on EV technologies The proposed system is modeled and simulated in MATLAB Simulink using Simscape Electrical and Simulink blocks. Here’s the step-by-step methodology: Syntax-highlighted executable code demonstration for EV Charging in MATLAB Simulink with CC-CV Control using wireless: Electric vehicle (EV) adoption places substantial instantaneous power demands on distribution networks. Uncont...

Analytical & State-Space Control Methodology

Three-phase induction motors (IMs) are the backbone of modern industrial automation, electric vehicles, and tr... The Bidirectional Dual Active Bridge (DAB) Converter with CC-CV Battery Charging Control is a powerful isolate... Wireless electric vehicle (EV) charging systems enhance user convenience and are fundamental to realising autonomous and contactless mobility. Nevertheless, efficiency at high power levels remains constrained by coil misalignment, magnetic leakage, and switching losses. This study presents the design of an analytical hypothesis model formulated to relate the coupling coefficient, mutual inductance, and load conditions to achieve power transfer. The model is then simulated and experimentally validated through a 5 kW at 85 kHz inductive power transfer (IPT) system employing a series–series compensated resonant topology. The mutual inductance coupling and the efficiency ( ) were developed to quantify the sensitivity of power transfer to variations in air gap and misalignment, as well as the quality factor, . The proposed system achieved a peak simulated efficiency of 92.5% and a measured wall-to-battery efficiency of 88.4%, with harmonic distortion below 6.5% and stable soft-switching operation across the 85–88 kHz range. The experimental prototype maintained zero-voltage switching (ZVS), precise DC-link voltage regulation (310 ± 2 V), and stable constant-current/constant-voltage (CC–CV) battery charging for a 72 V, 40 Ah lithium-ion pack. Power loss analysis indicated that coil copper losses increased from 6.2% at nominal alignment to 10.5% under a 60 mm lateral offset, while inverter and rectifier losses accounted for 4.1% and 3.0%, respectively. Efficiency decreased from 5.02 kW (92.5%) at 10 mm air gap to 3.8 kW (86.7%) at 60 mm, validating the predicted dependence on coupling coefficient and mutual inductance ( ). Magnetic field mapping confirmed emissions below the ICNIRP 27 µT limit at 10 cm, ensuring user safety. Simulation and experimental results demonstrated strong alignment, confirming effective harmonic mitigation, robust inverter modulation, and accurate CC–CV control. The system’s validated performance, analytical model, and experimental results collectively verify the design’s robustness, safety, and scalability, meeting SAE J2954 standards and offering a high-efficiency solution for next-generation residential and light-commercial EV charging applications.

Simulink Waveforms & Power Quality Findings

The proliferation of electric vehicles (EVs) as alternatives to combustion engine vehicles has driven advancements in charging technology. Wireless power transfer (WPT) has emerged as a promising charging solution, offering greater convenience than conventional conductive charging methods ( Madaram et al., 2024 ). WPT is becoming popular for charging electromobility fleets ( Li et al., 2022 ) and provides advantages including user convenience through cable elimination, enhanced safety via galvanic isolation, and improved aesthetics ( Mukherjee et al., 2021 ). Wireless charging enables automatic charging for autonomous vehicles and robotic applications, thereby reducing the need for human intervention. EV adoption is driven by government incentives and environmental concerns, resulting in an increased demand for advanced charging infrastructure ( Iannuzzi and Franzese, 2020 ). The transition to wireless charging systems presents challenges in terms of efficiency, electromagnetic interference, safety, and cost. Improvements in power electronics, coil design, and control algorithms are needed for efficiency. Electromagnetic compatibility must prevent interference with other devices. Safety standards are crucial EV charging across stations ( Sh et al., 2024 ). Addressing these challenges will enable the widespread adoption of wireless EV charging for sustainable transportation.

Scope & Practical Applications

• High-efficiency DC-DC converters and isolated resonant topologies (LLC / DAB)
• Sinusoidal and Space Vector PWM inverters for grid integration & industrial motor drives
• MOSFET / IGBT gate driver optimization with active Miller-clamp shoot-through protection
• Power quality conditioning with Total Harmonic Distortion (THD) strictly compliant with IEEE 519
• Complete Simscape .SLX model files, parameter calculation scripts, and IEEE dissertation reports