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⚡ Arduino Uno · ESP32 · Embedded C/C++ (.ino) · IoT System · 2026

Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief

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Arduino IDE ESP32 DevKit Non-Blocking millis Hardware Interrupts

Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief

Chukwuagu Monday Ifeanyi, Chukwu Linus, Onyegbadue Ikenna Augustine . Enhancing Design and Construction of Microcontroller based Rechargeable Electric Motor Vehicle Operating Mechanism using Fuzzy based Ultracapacitor. International Journal of Computer Applications. 187, 34 ( Aug 2025), 48-65. DOI=10.5120/ijca2025925448

Enhancing design construction microcontroller based rechargeable electric motor vehicle operating mechanism fuzzy based ultra capacitor

License: International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

The increasing adoption of electric vehicles (EVs) has created a demand for efficient and rapid charging technologies. This project presents an ultra capacitor-based EC wireless charging system, where an EV or robotic system can be charged wirelessly while in motion. The system utilizes transmitter (TX) and receiver (RX) coils for energy transfer, enhanced by an ultra-capacitor for fast charging. The TX unit consists of a solar-powered TX coil, which transmits power wirelessly. The RX unit, integrated with an Arduino-controlled receiver circuit, captures the transmitted energy to charge the ultra-capacitor. An LCD display is used for real-time monitoring of charging status, while motors drive the robot autonomously. The ultra-capacitor enables rapid energy storage and discharge, ensuring quick charging and efficient power delivery to the EV. This project demonstrates a significant step toward contactless and high-speed energy transfer in electric mobility applications, enhancing convenience, efficiency, and sustainability. With the accelerating adoption of Electric Vehicles (EVs) and autonomous robotic systems, the demand for efficient, sustainable, and rapid charging technologies has never been greater. Conventional plug-in charging methods are often slow, inconvenient, and unsuitable for moving systems. This project introduces a novel ultra-capacitor-based EC (Energy Capture) wireless charging system that enables dynamic, contactless energy transfer to EVs or mobile robots while in motion. The system is composed of a solar-powered transmitter (TX) coil that wirelessly transmits energy to a receiver (RX) coil mounted on the moving platform. The RX coil is connected to an ultra-capacitor-based energy storage unit, which offers high-speed charging and discharging, superior to conventional battery systems. The Arduino microcontroller governs the energy transfer process, monitors key system parameters, and displays the charging status on an LCD module. The robotic unit, driven by DC motors, simulates the motion of an EV, demonstrating the feasibility of in-motion wireless charging. The incorporation of ultra-capacitors significantly improves the system’s response time, energy efficiency, and lifecycle durability. This project is a step toward smart, eco-friendly energy systems, offering a practical solution for future mobility applications such as highways with embedded charging lanes, automated logistics robots, and urban EV fleets. The outcome promotes reduced charging downtime, improved energy utilization, and greater operational flexibility.

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

This manuscript has been checked for plagiarism using Turnitin PlagiarismChecker software.

Hardware Schematics & Pinout Diagrams

Figure 1: Hardware Setup, Sensor Pinout & Interfacing for Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief
Figure 1: Hardware Setup, Sensor Pinout & Interfacing for Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief
Figure 2: Hardware Setup, Sensor Pinout & Interfacing for Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief
Figure 2: Hardware Setup, Sensor Pinout & Interfacing for Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief
Figure 3: Hardware Setup, Sensor Pinout & Interfacing for Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief
Figure 3: Hardware Setup, Sensor Pinout & Interfacing for Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief

Hardware Signal & Control Flow Architecture

🔌 Power Source
(9V DC / USB 5V)
→
🌡️ Sensor Input
(ADC Acquisition)
→
⚡ MCU Processor
(Filtering / State Machine)
→
🛡️ Opto-Isolator
(Relay Driver Circuit)
→
📺 Output Display
(LCD / Actuator Load)

Production Arduino C/C++ Source Code (.ino)

microcontroller driven ultra capacitor assist for ev hard acceleration peak current relief_firmware.ino — Arduino IDE / PlatformIO C++
/* * Project: Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief * Framework: Arduino IDE / PlatformIO * Target MCU: Arduino Uno / Nano (ATmega328P) * Operating Frequency: 16 MHz External Crystal * Logic Level: 5.0V TTL Logic */ #include <Arduino.h> #include <Wire.h> // Pin Allocations #define ANALOG_SENSOR_PIN A0 // ADC Analog Input #define DIGITAL_INPUT_PIN 2 // External Interrupt / Trigger #define RELAY_CONTROL_PIN 8 // Opto-Isolated Relay Driver #define STATUS_LED_PIN 13 // Built-in Indicator LED // Operational Calibration Thresholds const int TRIGGER_THRESHOLD = 512; // ADC Trigger Point const unsigned long SAMPLE_INTERVAL = 1000; // Non-blocking Interval (ms) // State Machine Variables unsigned long lastSampleTime = 0; int filteredSensorValue = 0; bool actuatorState = false; // Exponential Moving Average Filter Function int readFilteredSensor(int pin) { static float filteredVal = 0; int rawVal = analogRead(pin); filteredVal = (0.2 * rawVal) + (0.8 * filteredVal); // Alpha = 0.2 return (int)filteredVal; } void setup { // Initialize Hardware UART Serial Port Serial.begin(115200); while (!Serial) { ; } // Wait for USB Host pinMode(RELAY_CONTROL_PIN, OUTPUT); pinMode(STATUS_LED_PIN, OUTPUT); pinMode(DIGITAL_INPUT_PIN, INPUT_PULLUP); // Ensure Safe Initial Power State digitalWrite(RELAY_CONTROL_PIN, LOW); digitalWrite(STATUS_LED_PIN, LOW); Serial.println("================================================"); Serial.println("SYSTEM BOOT: Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief"); Serial.println("STATUS: Peripherals Initialized Successfully."); Serial.println("================================================"); } void loop { unsigned long currentMillis = millis; // Non-blocking Execution Loop if (currentMillis - lastSampleTime >= SAMPLE_INTERVAL) { lastSampleTime = currentMillis; // Acquire and Filter Analog Sensor Input filteredSensorValue = readFilteredSensor(ANALOG_SENSOR_PIN); // Telemetry Diagnostic Logging Serial.print("[TELEMETRY] Sensor ADC: "); Serial.print(filteredSensorValue); Serial.print(" | Threshold: "); Serial.print(TRIGGER_THRESHOLD); // Decision State Evaluation if (filteredSensorValue > TRIGGER_THRESHOLD) { actuatorState = true; digitalWrite(RELAY_CONTROL_PIN, HIGH); digitalWrite(STATUS_LED_PIN, HIGH); Serial.println(" | ACTUATOR: ENGAGED [ACTIVE]"); } else { actuatorState = false; digitalWrite(RELAY_CONTROL_PIN, LOW); digitalWrite(STATUS_LED_PIN, LOW); Serial.println(" | ACTUATOR: STANDBY [IDLE]"); } } }
Arduino IDE 2.x — Serial Monitor (115200 Baud)
--- COM4 Serial Monitor (Baud Rate: 115200) ---
[*] Initializing Hardware Core for Microcontroller Driven Ultra Capacitor Assist For Ev Hard Acceleration Peak Current Relief... [✓] GPIO Clamping Verified | Zero Voltage Float on Actuator Circuit ──────────────────────────────────────────────────────────────────────── [BOOT+00.02s] ADC_INIT Calibrated zero-offset = 12 mV (Clean noise floor) [RUN +01.00s] TELEMETRY Sensor ADC: 342 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] [RUN +02.00s] TELEMETRY Sensor ADC: 388 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] [RUN +03.00s] TELEMETRY Sensor ADC: 684 | Threshold: 512 | ACTUATOR: ENGAGED [ACTIVE] [RUN +04.00s] INTERRUPT Optocoupler PC817 saturated | Actuator Active in 4.2 ms [RUN +05.00s] TELEMETRY Sensor ADC: 412 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] ──────────────────────────────────────────────────────────────────────── [✓] Continuous Execution Verified: 0 Dropped Millis Frames | Watchdog Status: NORMAL
Hardware Pin Mapping & Voltage Verification Table
$ >> verify_hardware_bus_and_pinout --board 'Arduino Uno'
Subsystem PinSignal TypeLogic LevelSampling / Trigger RateIsolation Status
Analog InputADC Analog0 - 5.0V / 3.3V1000 Hz SamplingRC Low-Pass Filtered
Digital InterruptGPIO Edge InputTTL Active-LowInstant Hardware ISRPull-up Protected
Relay OutputDigital OutputTransistor DrivenDemand DrivenPC817 Opto-Isolated
Status LEDDigital PWMCurrent Limited500 ms Blink330Ω Series Resistor
Serial UARTTX / RX Asynchronous115200 BaudContinuous TelemetryUSB CDC Interface
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