Abstract
Reliability and performance of cyber-physical systems (CPS) in electric vehicles (EVs) are influenced by three design aspects: (i) controller design, (ii) battery usage, i.e., Battery rate capacity and aging effects, (iii) processor aging of the in-vehicle embedded platform. In this paper, we present a two-phase design optimization framework involving control algorithm development, battery modeling and processor aging analysis. First, before processor aging, a Pareto front between quality of control (QoC) and battery usage is obtained. Second, as the processor ages, the controller is re-optimized considering the prolonged sampling period to avoid QoC deterioration of safety-critical applications with a compromise on battery usage and comfort-related applications. An outlook following this line of research on reliable CPS design in EVs is discussed, that we believe, will be pursued by researchers in the CPS community.
Original language | English |
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Title of host publication | Proceedings - 3rd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2015, 19-21 August 2015, Hong Kong, China |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 37-42 |
Number of pages | 6 |
ISBN (Electronic) | 9781467377850 |
DOIs | |
Publication status | Published - 18 Sept 2015 |
Event | 3rd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2015 - Hong Kong, China Duration: 19 Aug 2015 → 21 Aug 2015 |
Conference
Conference | 3rd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2015 |
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Country/Territory | China |
City | Hong Kong |
Period | 19/08/15 → 21/08/15 |
Keywords
- battery aging
- cyber-physical systems
- quality of control
- Semiconductor aging