Reusable IP cores library for EV propulsion systems

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

Ricardo de Castro (Author) Other; Rui Esteves Araújo (Author) FEUP; Diamantino Freitas (Author) Other

Conference proceedings International

Title: IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE 2010)

Pages: 3656-3663

IEEE International Symposium on Industrial Electronics (ISIE 2010)

Bari, ITALY, JUL 04-07, 2010

Indexing

ISI Proceedings

ISI Web of Knowledge - 1 Citation

Scopus - 3 Citations

INSPEC

COMPENDEX

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering ; Technological sciences > Engineering > Control engineering ; Technological sciences > Engineering > Project engineering ; Technological sciences > Technology > Energy technology > Electric vehicles

Other information

Authenticus ID: P-003-B6M

DOI: 10.1109/isie.2010.5637294

Abstract (EN): This paper presents a new control chip design, based on Field Programmable Gate Array (FPGA) technology, for multi-motor electric vehicles. The control chip builds around a reusable intellectual property (IP) core, named Propulsion Control System (PCS); which features motor control functions with field orientation methods, and energy loss minimization of induction motors. To reduce the cost, implementation issues related with the limited number of dedicated multipliers were overcome using an efficient computational block, based on resource sharing strategy. Due to the parallel processing offered by FPGAs, the resulting implementation can be effortlessly adapted to different electric vehicles topologies, like single or multi-motor drive. As proof of concept, two prototypes with single and multi-motor configurations were developed with the control chip design implemented in a low cost Xilinx Spartan 3 FPGA. Experimental verification of the energy loss minimization algorithm is provided, showing considerable energy savings (>15%) in low speed conditions and improving the electric vehicle range per charge.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8