WP3 aims to develop the low level peripherals of the powertrain, in particular:
• Affordable high performance electric drive (ED) system at the basis of the multi-motor traction system of AMBER-ULV
• Battery Management System with dynamic equalizer.
• The low level control structure managing communication among peripherals and connection with sensor and actuators.
These subsystems will be integrated at a control level in a high level control architecture implemented on a unified control platform. This activity, that include the Traction and Stability Control System (TSCS) and the Regenerative braking System will be then carried out in WP4.
Integration of selected and developed components on the car will be then carried out in WP6.
The activity is aimed to give to the manufacturer the possibility to opportunistically choose the machine type for
both traction and auxiliary drives and to obtain the maximum performance from the chosen machine. This result will be obtained
This objective will be obtained by performing a development activity in two main area: the motor control algorithm and the inverter power stage layout.
The motor control algorithm will be constituted by a unified control scheme which is able to drive several types of electric machines and to exploit the machine capability to obtain the severe features requested by the traction application.
The hardware development will yield to a more integrated power stage of the inverter by using new material and manufacturing technology under development in the industry. This will help to realize an inverter layout with reduced number of parts yielding to higher mechanical strength, lower cost.
The outcome of this research activity will be released for both traction and auxiliary inverter. In this way they will be used in both multimotor traction system and air conditioning motor compressor.
Battery management System
This activity is concerned with the development of a battery and subsystem for the energy storage, and associated models to feed into energy management at a systems level. In particular given the constraints on weight, the efficient operation of the battery pack will be a key focus, with attention to minimize the thermal
loading on the battery pack, and to minimize ageing effects from its operation – and to feedback detrimental operation information to the driver. TNO will provide reduced-order predictive models for the battery pack to be incorporated into the control system, and to feed into the HMI to provide more accurate range prediction.
Additionally information of the categorization of the driver will be used to communicate via HMI as to the effect on driver and possible range improvements should the driver change to encourage efficient operation of the vehicle. These models will link both to optimal regenerative braking within WP4 via charge acceptance, and HMI aspects within WP6.