Context and objectives: This work will be carried out within the framework of the Chair between Centrale Nantes and Renault in collaboration with Huntsville University, Alabama (USA). First, the control of energy sources-storage (batteries, fuel cells, super-capacitors) of the electric vehicle (EV) and its energy conversion chain (static converters, electric motors) will be studied. Second, the optimized energy management of the EV in interaction with the road network: charging-time (batteries-hydrogen), availability (number of charging stations, waiting-time), cost (price of energy and maintenance), temperature, etc..., will be investigated. The fuel cell allows to solve the range problem of EVs without increasing the on-board batteries quantity. This is a challenging subject that interests’ manufacturers such as Renault and it is also one of the major research axis of the national action of the CSE working group (Commande des Systèmes Electriques) of the inter SAGIP-SEEDS. This subject is also within the CPER GENIUS project, that consist to develop a test-bench with a real power (scale 1) combining renewables energies, hydrogen based storage, batteries and supercapacitors.
Context and objectives: PWM optimization strategies dedicated to DC-AC 2 levels converters have been recently developed within the framework of the Renault-Centrale Nantes Chair https://renault-chair.ec-nantes.fr/. The objectives of the proposed post-doc are to extend and to validate these algorithms on the BEMEVE 160 kW electric propulsion test bench, by using Matlab-Simulink environment with dSPACE rapid prototyping, for their integration into Renault EV/HEV. The recruited post-doc will also propose, compare and extend the developed PWM optimization strategies by considering 2 and 3 levels inverters.
Context and objectives: New control strategies of a reversible charger have been recently developed within the framework of the Renault-Centrale Nantes Chair https://renault-chair.ec-nantes.fr/ to improve the existing solutions. The objectives of the proposed post-doc are to extend and to validate these strategies on a test bench charger of 1-phase 7KW and 3-phase 22KW being setup at Centrale Nantes, by using Matlab-Simulink environment with dSPACE rapid prototyping, for their use within Renault EV/HEV. The recruited post-doc will also work on the control of a new charger topology.
Context and objectives: Torque and position estimation algorithms have been recently developed within the framework of the Renault-Centrale Nantes Chair https://renault-chair.ec-nantes.fr/. The objectives of the proposed post-doc are to extend and to validate these algorithms on the BEMEVE 160 kW electric propulsion test bench, by using Matlab-Simulink environment with dSPACE rapid prototyping, for their integration into Renault EV/HEV. The recruited post-doc will also propose other torque and position estimation algorithms in order to compare and to extend the previous developed work.
