Fuzzy-Super twisting control implementation of battery/super capacitor for electric vehicles

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy Systems

Background:

• Electric vehicles (EVs) require efficient energy management for hybrid systems.
• Battery-supercapacitor hybrid systems offer advantages but need sophisticated control.
• Permanent Magnet Synchronous Motors (PMSM) are crucial for EV traction.

Purpose of the Study:

• To implement a novel Fuzzy logic energy management strategy (EMS) for a battery-supercapacitor hybrid system in EVs.
• To apply a super-twisting (ST) sliding mode control with space vector modulation (SVM) for PMSM traction control.
• To validate the real-time performance and effectiveness of the proposed control strategies on a small-scale experimental setup.

Main Methods:

• Real-time implementation of a Fuzzy logic EMS for power frequency splitting and voltage regulation.
• Application of a second-order sliding mode (super-twisting) controller with SVM for decoupled torque and flux control.
• Experimental assessment on a dSPACE1104 controlled battery/supercapacitor/PMSM system.

Main Results:

• The Fuzzy logic EMS achieved smooth operation, fast responses, and maintained stable DC bus and super-capacitor voltages under varying speed profiles.
• The super-twisting controller ensured perfect speed tracking with low torque and flux ripples.
• The hybrid system demonstrated proper functioning of each energy source within its dynamics.

Conclusions:

• The proposed Fuzzy logic EMS is effective for real-time control of hybrid energy systems in EVs.
• The super-twisting controller provides robust and accurate PMSM control for EV traction.
• The integrated system shows high performance and smooth operation, suitable for electric vehicle applications.