A Novel Range-Extended Strategy for Fuel Cell/Battery Electric Vehicles

Area of Science:

• Automotive Engineering
• Control Systems
• Sustainable Energy

Background:

• Electric vehicles (EVs) face range anxiety, often addressed by combustion engine generators.
• Zero-CO2 emission goals create challenges for traditional generator use in EVs.
• Fuel cell/battery hybrid powertrains offer a potential solution for extended EV range.

Purpose of the Study:

• To propose a novel charging strategy for fuel cell/battery electric vehicles.
• To enhance the battery's state of charge (SOC) management.
• To improve the driving range and reduce range anxiety in electric vehicles.

Main Methods:

• Implementation of a fuzzy control approach for energy management.
• Development of fuzzy rules based on urban driving models and smooth steering experience.
• Simulation-based evaluation of the proposed control system.

Main Results:

• The fuzzy control strategy effectively enhances battery state of charge (SOC).
• The system mitigates the rapid SOC loss problem.
• Extended driving range was demonstrated through simulation.

Conclusions:

• The proposed fuzzy control strategy is effective and feasible for range-extended electric vehicles.
• This approach offers a viable solution for improving EV range and addressing range anxiety.
• The strategy supports zero-emission goals by utilizing fuel cells efficiently.