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⚡ MATLAB R2024b · Simulink · Simscape Electrical · Inverters · Bangalore 2026

Eee projects on wireless power transmission for medical implants — Simulation & Power Modeling

Comprehensive engineering investigation on Eee projects on wireless power transmission for medical implants covering Simscape architectural modeling, small-signal state-space averaging, MOSFET/IGBT switching loss reduction, closed-loop PWM regulation, and IEEE-format dissertation reports.

IEEE 519
THD Compliant
4.9★
Student Rating
573
Verified Reviews
★★★★★ VTU · Anna University · JNTU · NIT · BITS scholars — 573 ratings
MATLAB R2024b Simulink Models Simscape Electrical MOSFET / IGBT SPWM & SVPWM Gate Driver Circuits IEEE 519 THD

Abstract — Eee projects on wireless power transmission for medical implants

Eee Projects On Wireless Power Transmission For Medical Implants: Power Electronics, MATLAB/Simulink & Circuit Modeling Integrated Analysis: MATLAB/Simulink · MOSFET/IGBT Gate Drivers · SPWM/SVPWM · THD Spectrum · ~13511 Words Chapter 1: Power Electronics Overview, System Specifications & Topology Modeling In the context of implantable bioelectronics, this work provides new insights into maximizing biomedical wireless power transfer (BWPT) via the systematic development of inductive links. This approach addresses the specific challenges of power transfer efficiency (PTE) optimization within the spatial/area constraints of bio-implants embedded in tissue. Key contributions include the derivation of an optimal self-inductance with S-parameter-based analyses leading to the co-design of planar spiral coils and L-section impedance matching networks. To validate the proposed design methodology, two coil prototypes— one symmetric (type-1) and one asymmetric (type-2)— were fabricated and tested for PTE in pork tissue. Targeting a 20 MHz design frequency, the type-1 coil demonstrated a state-of-the-art PTE of ∼ \sim 4% (channel length = 15 mm) with a return loss (RL) > > 20 dB on both the input and output sides, within an area constraint of < < 18 × \times 18 mm 2 . In contrast, the type-2 coil achieved a PTE of ∼ \sim 2% with an RL > > 15 dB, for a smaller receiving coil area of < < 5x5 mm 2 for the same tissue environment. To complement the coils, we demonstrate a 65 nm test chip with an integrated energy harvester, which includes a 30-stage rectifier and low-dropout regulator (LDO), producing a stable ∼ \sim 1V DC output within tissue medium, matching theoretical predictions and simulations. Furthermore, we provide a robust and comprehensive guideline for advancing efficient inductive links for various BWPT applications, with shared resources in GitHub available for utilization by the broader community.

Analytical & State-Space Control Methodology

Advancements in bioelectronics have profoundly transformed contemporary implantable medical devices (IMDs), paving the way for enhanced management of chronic diseases and optimized surgical interventions . For example, neurostimulators [ 2 , 3 ] , pacemakers , retinal implants , spinal cord stimulators , and cochlear implants are some of the notable IMDs that have garnered considerable attention by providing targeted treatments. However, despite the splendid benefits offered to patients, powering these IMDs effectively continues to be one of the major challenges within the biomedical circuits and system design community. Traditional percutaneous wiring methods provide a consistent power supply, but they are vulnerable to damage due to material incompatibility and scarring at the tissue interface, and maintaining sterility for these devices is an extra challenge . Similarly, internal power sources, like batteries, occupy substantial space and must be surgically replaced at regular intervals due to their limited charge capacity and recharge cycles . Additionally, fluctuations in temperature and power consumption can lead to overheating, explosion, or chemical leakage. Recognizing these stringent limitations within the tissue environment, wireless power transfer (WPT) systems have emerged as key enablers for the progress of next-generation biomedical implants [ 10 , 11 , 12 , 13 ] .

Simulink Waveforms & Power Quality Findings

Today’s biomedical WPT (BWPT) for implantable applications encompass resonant inductive [ 14 , 15 ] , capacitive , ultrasonic , optical , magnetoelectric [ 19 , 20 ] , and radio frequency based electromagnetic transmission modalities. Accordingly, numerous studies have addressed the specific requirements of IMDs based on these diverse WPT systems characterized by power transfer efficiency (PTE), power delivered to the load (PDL), device form factor (FF), surgical comfort (SC), tissue absorption (TA) and misalignment tolerance (MT) [ 22 , 1 ] . These parameters help to identify the pros and cons of the aforesaid untethered powering technologies as highlighted in Fig. 1 . Though another WPT method recognized as body-coupled powering (BCP) seems promising, it is still at the early exploration stage [ 23 , 24 , 6 , 25 ] , contrary to body-coupled communication which has been explored in detail over the last decade by multiple groups including our own [ 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ] . While multiple WPT options are prevalent, non-radiative inductive coupling (NRIC) based on resonant inductive WPT is considered the paragon among all as it is widely deployed in various IMD scenarios due to its size, scalable power range, superior short-distance power transmission performance, and tissue safety . A general block diagram of the NRIC link is depicted in Fig. 2 (a) , which is the prime focus of this work.

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
⚡

Simscape Modeling

Simulink power stage & discrete PWM solver

🔬

Semiconductor Loss

SiC MOSFET & IGBT thermal dissipation

📊

SVPWM Control

Vector control, FOC & digital PI loops

📈

IEEE 519 Quality

FFT harmonic spectrum & THD < 5% verification

🔌

Gate Driver Protection

Isolated bootstrap & Miller clamp circuits

🏎️

HIL Prototyping

Ready for dSPACE, OPAL-RT & TI C2000 DSP

Engineering Software & Simulation Toolchains

Modeled using industry-standard power electronics simulation platforms, discrete numerical solvers, and HIL testbeds.

💻MATLAB R2024b ⚡Simulink Engine 🔌Simscape Electrical 📊PLECS Standalone 🏎️TI C2000 DSP 📈PSIM Power Suite 🔬Altium Gate Layout ⚙️dSPACE HIL
Software Platform Analytical Function & Role Simulation Tier
MATLAB R2024bSmall-signal state-space averaging, bode stability margins, LC filter design, FFT analysisAnalytical Core
Simulink / SimscapeTime-domain switching models, non-linear semiconductor models, discrete PI controllersSystem Simulator
PLECS / PSIMHigh-speed thermal loss estimation (conduction and switching Eon/Eoff), snubber designThermal & Losses
Altium DesignerHigh-voltage isolation layout, creepage/clearance, power loop parasitic inductance minimizationHardware PCB
TI C2000 / dSPACEEmbedded C codegen from Simulink, high-resolution ePWM registers, Hardware-in-the-Loop testHIL Deployment

Power Conversion & Control Topology Workflow

Systematic integration from DC input energy source and high-frequency gate drive to digital control loops and load delivery.

⚡ DC Source /
Renewable Bus
→
🔌 Gate Driver &
MOSFET/IGBT Bridge
→
💻 Simulink Control
& SVPWM Loop
→
🧮 LC / LCL Power
Filter Stage
→
📊 Scope Waveforms
& FFT Analyzer
→
🏢 Utility Grid /
Motor Load

Verified Simulink Block Diagrams & Converter Waveforms

Figure 1: Simulink Block Model, Power Circuit & Switching Waveform for Eee projects on wireless power transmission for medical implants
Figure 1: Simulink Block Model, Power Circuit & Switching Waveform for Eee projects on wireless power transmission for medical implants
Figure 2: Simulink Block Model, Power Circuit & Switching Waveform for Eee projects on wireless power transmission for medical implants
Figure 2: Simulink Block Model, Power Circuit & Switching Waveform for Eee projects on wireless power transmission for medical implants

Advantages of the Eee projects on wireless power transmission for medical implants Project

Why this project delivers superior academic grades and provides high technical evaluation standing.

01

High-Fidelity Simscape Modeling

Provides precise numerical simulation of switching events using ODE variable-step solvers without numerical divergence.

02

Rigorous IEEE 519 Grid Compliance

Guarantees total harmonic distortion (THD) below 5% through optimized LCL filter attenuation and synchronous control loops.

03

Wide-Bandgap Semiconductor Sizing

Models modern SiC MOSFETs and GaN switches to achieve power conversion efficiencies exceeding 97.5% across full-load regimes.

04

Advanced Digital Modulation

Implements Space Vector PWM (SVPWM) and sinusoidal modulation maximizing DC-bus utilization by 15.5% over carrier methods.

05

Dynamic Small-Signal Stability

Custom MATLAB scripts compute control-to-output transfer functions Gvd(s), phase margins (> 50°), and gain margins.

06

Gate Driver Protection Mechanics

Incorporates active Miller clamps, negative turn-off bias, and isolated bootstrap circuitry to eliminate shoot-through faults.

07

Hardware-in-the-Loop (HIL) Ready

Directly exportable to embedded C for execution on Texas Instruments C2000 DSPs, dSPACE, and OPAL-RT real-time platforms.

08

Detailed Magnetic Core Sizing

Features rigorous inductor and high-frequency transformer calculations ensuring core saturation flux margins remain safe.

09

Direct Electric Vehicle & Grid Value

Builds technical competencies demanded by top automotive EV powertrain developers, solar EPCs, and power electronics consultancies.

10

Complete Turnkey Package

Delivered with full Simulink .SLX models, MATLAB initialization scripts, calculation sheets, IEEE-format report, and viva defense slides.

Sample MATLAB Code, Scope Waveforms & Harmonic Schedules

Representative excerpts illustrating the state-space analytical derivations, command solver output, and power quality distortion schedules.

eee_projects_on_wireless_power_transmission_for_medical_implants_converter_design.m — MATLAB R2024b · State-Space Averaged Modeling & LC Sizing
% eee_projects_on_wireless_power_transmission_for_medical_implants_converter_design.m — State-Space Averaged Modeling for Eee projects on wireless power transmission for medical implants % Solves Small-Signal Transfer Function Gvd(s), Inductor Volt-Second Balance & Bode Stability clc; clear; close all; % Operating Specifications Vin = 48.0; % Input DC Supply Voltage (V) Vo = 24.0; % Regulated Output DC Voltage (V) Po = 350.0; % Output Rated Power (W) Io = Po / Vo; % Load Current (14.58 A) f_sw = 100e3; % Switching Frequency (100 kHz) Ts = 1 / f_sw; D = Vo / Vin; % Nominal Steady-State Duty Ratio (0.50) % Critical Passive Sizing: 25% Inductor Current Ripple & 1% Capacitor Voltage Ripple delta_IL = 0.25 * Io; delta_Vo = 0.01 * Vo; L = ((Vin - Vo) * D) / (delta_IL * f_sw); C = delta_IL / (8 * f_sw * delta_Vo); R_load = Vo / Io; % Small-Signal Control-to-Output Transfer Function: Gvd(s) = vo_hat(s) / d_hat(s) num = [Vin / (L * C)]; den = [1, 1 / (R_load * C), 1 / (L * C)]; Gvd = tf(num, den); % Frequency Response, Phase Margin & Gain Margin [Gm, Pm, Wcg, Wcp] = margin(Gvd); fprintf('[✓] Eee projects on wireless power transmission for medical implants: Sized Inductor L = %.2f uH | Output Capacitor C = %.2f uF\n', L*1e6, C*1e6); fprintf('[✓] Crossover Frequency: %.2f kHz | Open-Loop Phase Margin: %.2f deg\n', Wcp/(2*pi*1e3), Pm);
Command Window — MATLAB / Simulink Simscape Power Converter Output
>> simulate_power_converter_model('DC_DC_ClosedLoop_PI_Model')
[*] Compiling Simscape Electrical Switching Topology Engine... [✓] SiC MOSFET / GaN Switching Semiconductor Characteristics Loaded ──────────────────────────────────────────────────────────────────────── [OUTPUT REGULATION] Steady-State DC Voltage: 24.01 V (Ripple: 0.18 V p-p) [TRANSIENT STEP] 50% to 100% Load Recovery: 0.82 ms (Overshoot: < 1.4%) [SEMICONDUCTOR] Total Switching Loss (Psw): Psw = 4.82 W at 100 kHz [CONVERSION η] Full-Load Power Efficiency: η = 97.42% (Optimal Operating Band) ──────────────────────────────────────────────────────────────────────── [✓] Small-Signal Compensator Verified: Phase Margin = 54.8° (Robust Loop Stability)
Power Electronics Converter Electrical Parameters & Semiconductor Stress
$ >> tabulate_converter_metrics(SimResults, Specs)
[*] Simulating converter steady-state operating envelope across switching cycles...
Electrical ParameterDesign ObjectiveSimulink Simulated MetricPerformance VarianceStatus
Regulated Output Voltage24.00 V24.01 V+0.04%REGULATED
Inductor Current Ripple< 25.0%18.4%-26.4%OPTIMAL
Voltage Peak Ripple< 240 mV180 mV-25.0%OPTIMAL
Power Conversion Efficiency> 95.0%97.42%+2.42%HIGH EFFICIENCY

[✓] Power Quality Verification Complete: Injected harmonic components conform strictly to IEEE 519 standards.

Frequently Asked Questions

Eee Projects On Wireless Power Transmission For Medical Implants: Power Electronics, MATLAB/Simulink & Circuit Modeling Integrated Analysis: MATLAB/Simulink · MOSFET/IGBT Gate Drivers · SPWM/SVPWM · THD Spectrum · ~13511 Words Chapter 1: Power Electronics Overview, System Specifications & Topology Modeling In the context of implantable bioelectronics, this work provides new insights into maximizing biomedical wireless power transfer (BWPT) via the systematic development of inductive links. This approach addresses the specific challenges of power transfer efficiency (PTE) optimization within the spatial/area constraints of bio-implants embedded in tissue. Key contributions include the derivation of an optimal self-inductance with S-parameter-based analyses leading to the co-design of planar spiral coils and L-section impedance matching networks. To validate the proposed design methodology, two coil prototypes— one symmetric (type-1) and one asymmetric (type-2)— were fabricated and tested for PTE in pork tissue. Targeting a 20 MHz design frequency, the type-1 coil demonstrated a state-of-the-art PTE of ∼ \sim 4% (channel length = 15 mm) with a return loss (RL) > > 20 dB on both the input and output sides, within an area constraint of < < 18 × \times 18 mm 2 . In contrast, the type-2 coil achieved a PTE of ∼ \sim 2% with an RL > > 15 dB, for a smaller receiving coil area of < < 5x5 mm 2 for the same tissue environment. To complement the coils, we demonstrate a 65 nm test chip with an integrated energy harvester, which includes a 30-stage rectifier and low-dropout regulator (LDO), producing a stable ∼ \sim 1V DC output within tissue medium, matching theoretical predictions and simulations. Furthermore, we provide a robust and comprehensive guideline for advancing efficient inductive links for various BWPT applications, with shared resources in GitHub available for utilization by the broader community.
The project is modeled and validated using MATLAB R2024b, Simulink, Simscape Electrical (SimPowerSystems), discrete PWM generators, and small-signal state-space analysis.
Yes. We deliver full Simulink .SLX model files, MATLAB .m initialization scripts, circuit parameter calculation sheets, university-format reports, presentation PPTs, and viva defense Q&A.

Project Deliverables & Support

Everything needed from project inception to final viva defense — delivered with expert technical support.

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