Projet ANR V3EA (Energy-Efficient and Autonomous Electric Vehicle)
The transition to electric vehicles (EVs) is well underway thanks to rapid advances in electric motors, power electronics, batteries and regenerative braking. However, major obstacles remain, including range, charging time, cost and inadequate infrastructure.
To address these issues, research is focusing on high-energy-density single-source EVs and multi-source hybrid architectures (battery, supercapacitor, fuel cell), combined with intelligent real-time energy management strategies.
At the same time, autonomous vehicles (AVs) are being developed to improve safety and driving comfort. However, most work on decision-making and trajectory planning remains decoupled from energy considerations, even though AVs offer significant potential for reducing consumption. Vehicle control, organised into high and low levels, is closely dependent on the architecture of the actuators.
The project focuses on autonomous EVs with four independent wheel drives and motors integrated into the wheels, enabling precise and rapid torque control, improved stability, increased manoeuvrability and the exploitation of actuator redundancy. Power is supplied by a hybrid battery/fuel cell/supercapacitor system to improve range and energy efficiency.
In this context, the work aims to optimise the energy efficiency of autonomous EVs at three closely linked levels, which are generally studied separately in the literature:
- Trajectory decision-making and planning, incorporating safety, dynamic constraints, uncertainties and energy consumption;
- Overall chassis control, ensuring trajectory tracking, stability, comfort and optimal energy distribution to the wheels;
- Low-level multi-source energy management, based on a real-time Energy Management System (EMS), taking into account the dynamics of the sources, their state of charge (SOC), their state of health (SOH), the optimisation of their service life and the minimisation of electrical losses.
PhDs : Ahmad El IALI (ESEO) & Fadel TARHINI (UTC)
Research Master’s Students : Nabil FEDALI & Hassan FARHAT
Involved Researchers : Moustapha DOUMIATI, Youssef KRAIEM, Karim MANSOURI, Mohamed MACHMOUM, Reine TALJ, Abdelhamid RABHI, Jean Luc FLEUREAU.
