https://github.com/kmoraza/ev_powertrain_simulation_app--enhanced
Desktop-App zur Simulation der Dynamik eines Elektrofahrzeug-Antriebsstrangs einschließlich Batterie-, Motor- und Fahrzeugleistung (Desktop-app that simulates electric vehicle powertrain dynamics including battery, motor, and vehicle performance)
https://github.com/kmoraza/ev_powertrain_simulation_app--enhanced
electric-vehicle electric-vehicle-powertrain engineering ev-design ev-powertrain mathematics physics
Last synced: 11 months ago
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Desktop-App zur Simulation der Dynamik eines Elektrofahrzeug-Antriebsstrangs einschließlich Batterie-, Motor- und Fahrzeugleistung (Desktop-app that simulates electric vehicle powertrain dynamics including battery, motor, and vehicle performance)
- Host: GitHub
- URL: https://github.com/kmoraza/ev_powertrain_simulation_app--enhanced
- Owner: KMORaza
- Created: 2025-05-08T10:43:58.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-08T10:52:51.000Z (about 1 year ago)
- Last Synced: 2025-05-08T11:43:07.227Z (about 1 year ago)
- Topics: electric-vehicle, electric-vehicle-powertrain, engineering, ev-design, ev-powertrain, mathematics, physics
- Language: Java
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
### First enhancement
* Users can adjust battery voltage (100–1000V), capacity (10–200kWh), motor power (50–500kW), vehicle mass (1000–3000kg), drag coefficient (0.1–0.5), regen efficiency (0–100%), drive mode, and acceleration (-1.5 to 1.5 m/s²).
* Shows real-time values for speed, SoC, distance, energy consumed, torque, RPM, battery temperature, and efficiency.
* Displays four waveforms with a grid overlay, color-coded for voltage (red), current (green), speed (blue), and temperature (yellow).
* Calculates vehicle speed using Newton’s second law, accounting for acceleration, drag, and rolling resistance.
* Drag force: `0.5 * dragCoefficient * 2.5 * 1.225 * speed^2` (assumes frontal area of 2.5m², air density 1.225kg/m³).
* Rolling resistance: `0.01 * mass * 9.81`.
* RPM is approximated as `speed * 50` (simplistic, assumes fixed gear ratio).
* Torque is calculated as `power * powerFactor / (RPM * efficiency)`, with efficiency decreasing at high RPM.
* Power consumption: `motorPower * powerFactor * (0.5 + 0.5 * |accel|) / (motorEfficiency * tempEfficiency)`.
* SoC: `100 - (energyConsumed / batteryCapacity * 100)`.
* Regenerative braking recovers energy when decelerating.
* Battery temperature changes based on heat input (from power use) and cooling, using a thermal mass of 1000 J/°C.
* Temperature is capped between 10°C and 70°C.
* Stores 200 points for each parameter (voltage, current, speed, temperature).
* Voltage and current include sinusoidal noise for realism.
* Incorporates drag, rolling resistance, motor efficiency, regenerative braking, and thermal effects.
* Drive modes add variety, simulating different driving styles.
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### Second enhancement
* Users can input values for battery voltage, capacity, motor power, vehicle mass, etc., within defined ranges (e.g., voltage: 100–1000V).
* Drive mode selection (Eco, Normal, Sport) adjusts max acceleration and power factor.
* Acceleration is controlled via a `Spinner` (-1.5 to 1.5 m/s²).
* Regenerative braking can be enabled/disabled, with efficiency adjustable via a `Slider`.
* Waveform visibility (voltage, current, speed, temperature) is toggled via `CheckBoxes`.
* Time step is capped at 0.1s to prevent large jumps.
* Calculates total force (force = mass * acceleration - drag - rolling resistance) & updates speed.
* Computes RPM based on speed and gear ratio.
* Calculates torque (torque = power * power factor / (RPM * efficiency).
* Motor efficiency decreases with high RPM.
* Power consumption depends on acceleration, motor efficiency, and temperature.
* Energy consumed updates SoC & regenerative braking recovers energy when decelerating, modulated by efficiency and SoC.
* Battery temperature changes based on heat input (from power use) and cooling.
* Temperature is capped between 10°C and 70°C.
* Models key EV components (battery, motor, vehicle) with realistic physics (drag, rolling resistance, regen braking).
* Includes thermal effects and efficiency variations based on operating conditions.
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_Diese Desktop-App simuliert den eines Elektrofahrzeug-Antriebsstrangs. Ich hatte zuvor eine ähnliche App zur Simulation des Antriebs eines Elektrofahrzeugs entwickelt und diese in der C-Programmiersprache geschrieben, die jedoch einige Aspekte der Elektrofahrzeugtechnologie nicht erfüllte. Ich habe die App verbessert, allerdings in JavaFX. Diese App muss möglicherweise noch verbessert und optimiert werden, obwohl sie besser als die ältere Version ist. Allerdings nichts ist 100% perfekt._
_This desktop app simulates electric vehicle powertrain. I earlier developed similar app for simulating electric vehicle powertrain and I wrote that app in C programming language but it was lacking in some aspects of electric vehicle technology. I enhanced the app but in JavaFX. This app might still need further improvement and optimization, despite being better than the older version. However, nothing is 100% perfect._