Hybrid Electric Vehicles (HEVs) combine electric and internal combustion powertrains to enhance fuel efficiency, reduce emissions, and improve overall performance. This project models a simplified series-parallel HEV, integrating an Interior Permanent Magnet Synchronous Machine (IPMSM) and an Internal Combustion Engine (ICE) for propulsion. The system also includes a high-voltage battery and an electric generator for efficient energy management.
A series-parallel HEV can operate in either series mode (where the ICE powers a generator to charge the battery) or parallel mode (where the ICE directly assists in vehicle propulsion). This configuration:
✔ Maximizes fuel efficiency by dynamically switching between series and parallel modes.
✔ Reduces emissions through optimized energy management.
✔ Enhances driving performance with smooth transitions between power sources.
This simulation aims to:
✔ Analyze power distribution and energy flow in a series-parallel HEV.
✔ Evaluate real-time torque management strategies for IPMSM and ICE.
✔ Optimize hybrid control strategies for efficiency and performance.
✔ Series Mode: ICE drives a generator to charge the battery, which powers the electric motor.
✔ Parallel Mode: ICE and IPMSM work together to propel the vehicle.
➡️ HIL/PHIL Benefit: Enables real-time validation of hybrid control transitions.
✔ Optimizes power distribution between ICE, battery, and electric motor.
✔ Ensures smooth switching between hybrid operation modes.
➡️ HIL/PHIL Benefit: Allows real-time tuning of EMS strategies for enhanced efficiency.
✔ Recovers braking energy and stores it in the high-voltage battery.
✔ Implements adaptive battery charging and discharging strategies.
➡️ HIL/PHIL Benefit: Tests regenerative braking efficiency before real-world implementation.
Simplified simulations focus on key aspects of the HEV system, reducing computational complexity and enabling faster analysis.
By identifying potential issues early in the design phase, simulations reduce the cost of prototyping and testing.
Simplified simulations accelerate the development process, enabling faster product launches.
Provides precise and repeatable test conditions, ensuring reliable results.
This simulation helps evaluate:
✔ Dynamic energy transitions in series-parallel HEVs.
✔ Impact of hybrid mode switching on vehicle efficiency.
✔ Real-time control of battery charging, regenerative braking, and torque distribution.
➡️ HIL/PHIL Benefit: Provides a safe and controlled environment for validating hybrid vehicle performance.
✔ Improved Fuel Efficiency: ICE operates optimally in both modes.
✔ Reduced Emissions: Lower reliance on fossil fuels during electric-mode driving.
✔ Enhanced Performance: Smooth and intelligent power distribution.
➡️ HIL/PHIL Benefit: Allows fine-tuning of energy strategies for real-world applications.
With this simulation, users can:
✔ Analyze energy flow and power transitions in a hybrid system.
✔ Optimize hybrid control strategies for improved efficiency.
✔ Evaluate battery and regenerative braking performance.
➡️ HIL/PHIL Benefit: Ensures accurate, real-time testing before hardware implementation.
The Series-Parallel HEV Simulation provides a robust framework for studying hybrid power distribution, energy efficiency, and torque management. Impedyme’s HIL and PHIL solutions enhance the development process:
Development Stage | Impedyme’s Contribution |
---|---|
Hybrid Mode Transition Optimization | HIL-based validation of mode-switching strategies |
Torque Management | PHIL simulation of real-world powertrain conditions |
Battery & Regenerative Braking Testing | Real-time validation of charging and braking efficiency |
Full-Vehicle Validation | PHIL-driven testing under dynamic driving scenarios |
✔ Integration of AI-based predictive hybrid control.
✔ Optimization of battery longevity and energy usage.
✔ Advanced thermal management for hybrid components.
The Series-Parallel HEV Simulation serves as a critical tool for developing next-generation hybrid vehicles. With Impedyme’s HIL/PHIL solutions, engineers can optimize energy management, improve vehicle efficiency, and validate hybrid control strategies before real-world deployment.