Expertise in On-board Energies and Systems
The research activities within the s2et division are focused on two main themes:
Theme 1: Energy and Intelligent Mechatronic Systems
This theme is composed of two topics:
- Energy and Design of Mechatronic Systems
- Systems Diagnostic and Control
a. Energy and Design of Mechatronic Systems
The objective is to develop multi-level design methodologies for mechatronic actuation chains on board means of transport, based on overall optimisation under multi-physical constraints. A typical mechatronic chain is composed of an energy source, a power converter and an electric actuator driving a mechanical load (e.g., electric propulsion chain, electric flight control, air loop shutter,…) The constraints considered are those of the dimensions, on-board weight, cost, yield, thermal and electromagnetic compatibility types, as well as the command and reliability type. Such a methodology makes use of multi-physical models of different finesses (multi-level aspect) and must effectively manage very different scales of time and space. The objective is to ensure a continuum of design between the modelling levels and between the elements of the mechatronic chain, taking into account its integration into a means of transport and into a more overall mobility environment.
In this multi-level and multi-physical design approach, a significant effort is devoted to to the storage and management of energy on-board.The objective is to study the behaviour of on-board sources and storage elements, considering a multi-physical model, including electric, thermal and reliability (ageing and lifetime). Particular interest is paid to the hybridisation of energy sources, allowing the development of optimal energy management strategies. Indeed, improvement of the performance of the on-board storage system is one of the keys to the mass use of electric and hybrid vehicles. In this context, we are developing solutions based on hybridisation of sources (battery, super-capacitors, fuel cells) to reduce the size of the on-board storage system and improve its lifetime.
These improvements are made possible through overall optimisation and the use of new energy management methods that can reduce the constraints on the main source of energy. Understanding of the behaviour of storage systems allows us to include the reliability factor from the design phase of the on-board source, with appropriate management methods.
- Pbras = 24 kW / 80 kW
- Imax = 600 A / 200 A
- Vmax = 160 V / 800 V
- Frequency = 40 kHz
- Command and acquisition: NI-FPGA
- 64 measurements, temperature -72 °c / +180°c
- Fault management
- Continuous cycling 24h/24h
b. Systems Diagnostic and Control
The approach of designing mechatronics actuation sequences and the optimised management of on-board energy require the development of advanced strategies for supervision, diagnostics and control, to optimise the dynamic performance of systems, predict the appearance of faults and provide continuity of service in case of a major malfunction.
Within the Systems Diagnostic and Control topic, a particular interest is taken in the development of new, robust, control architectures that are tolerant of faults (concerning power sources, electric machines, static converters, sensors,…) in the actuation sequences of an electric/hybrid vehicle and in the case of aircraft making greater use of electrics.
The development of fault diagnostic techniques is a crucial stage in our Fault Tolerant Controls approach, to improve the reliability of systems from a supervision and diagnostic point of view. This stage precedes the preparation of a system control strategy capable of providing stability with acceptable vehicle performance in normal or degraded modes for a given task profile.Experimental validation is performed on test benches at a reduced power scale.
Theme 2: On-board systems and connected mobility
This theme covers the design of software architecture for on-board systems. The objective is to explore and optimise (from a static and dynamic point of view) the software architectures of an on-board system for transport applications. This is based on the modelling and estimation of performance (temporal, energy, reliability and cost) for the quality of service (QoS) of a real-time on-board system. The work extends to the optimisation of the placement of software components on hardware architectures, considering in particular the uncertainty-management and functional-safety aspects, as well as the sharing of information (vehicle-vehicle and vehicle-infrastructure), both critical and non-critical. Also, the inclusion of multi-core architectures in the design/optimisation phase of performance and functional safety is studied in this context, particularly the problems related to the heuristic partitioning of software on the various cores and the formal verification of its execution security.
- Intelligent camera
- CAN network / Zigbee Automobile
- 5 ECUs, AUTOSAR
- Dashboard on Android tablet
- 4 ECUs
- Flexray bus with 2 channels
- HIL bench with model
vehicle and road
- Software architecture