TY - GEN
T1 - Wip abstract
T2 - 6th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2015
AU - Lee, Jinkyu
PY - 2015/4/14
Y1 - 2015/4/14
N2 - A large-scale Battery Management Sys- Tem (BMS) used in Electric Vehicles (EVs) and energy stor- Age systems is a typical Cyber-Physical System (CPS) application in that scheduling of battery charge, discharge, and rest (i.e., cyber part) can significantly improve BMS performance under understanding and controlling battery characteristics (i.e., physical part). Therefore, the CPS community has paid attention to BMSes, e.g., ICCPS [4, 5, 3] and the CPS track in RTSS [7, 2, 6, 1]. Most studies on BMSes from the CPS community have focused on a situation where a BMS supplies power to target systems. This entails determining which batteries are discharged (while others are rested) and how much individual batteries are discharged. To schedule battery discharge and rest, we should understand interesting non-linear characteristics of batteries, e.g., rate capacity effects and recovery effects. Rate capacity effects mean the higher discharge rate, the less efficient deliverable power; for example, provided that a battery can serve 60 minutes with 1-unit discharge rate, the battery only serves 28 (not 30) minutes with 2- unit discharge rate [7]. By recovery effects, we mean that the voltage dropped by deep discharge can be recovered after some rest time. These non-linear behaviors play an important role for performance improvement potentially achieved by scheduling of battery discharge and rest. However, only a few existing CPS research on BMSes dealt with a situation where power is sporadically generated within target systems. For example, many EVs are equipped with a regenerative breaking system, which generates power whenever the brake decelerates the EV. To manage this situation, we conjecture two battery properties for charge process: (a) deciding which batteries and how much individual batteries are charged is as important as that for discharge process; and (b) there exist non-linear characteristics for battery charge process corresponding to those for discharge process. Provided that the two hypotheses are valid, scheduling of battery charge and rest can potentially improve BMS performance.
AB - A large-scale Battery Management Sys- Tem (BMS) used in Electric Vehicles (EVs) and energy stor- Age systems is a typical Cyber-Physical System (CPS) application in that scheduling of battery charge, discharge, and rest (i.e., cyber part) can significantly improve BMS performance under understanding and controlling battery characteristics (i.e., physical part). Therefore, the CPS community has paid attention to BMSes, e.g., ICCPS [4, 5, 3] and the CPS track in RTSS [7, 2, 6, 1]. Most studies on BMSes from the CPS community have focused on a situation where a BMS supplies power to target systems. This entails determining which batteries are discharged (while others are rested) and how much individual batteries are discharged. To schedule battery discharge and rest, we should understand interesting non-linear characteristics of batteries, e.g., rate capacity effects and recovery effects. Rate capacity effects mean the higher discharge rate, the less efficient deliverable power; for example, provided that a battery can serve 60 minutes with 1-unit discharge rate, the battery only serves 28 (not 30) minutes with 2- unit discharge rate [7]. By recovery effects, we mean that the voltage dropped by deep discharge can be recovered after some rest time. These non-linear behaviors play an important role for performance improvement potentially achieved by scheduling of battery discharge and rest. However, only a few existing CPS research on BMSes dealt with a situation where power is sporadically generated within target systems. For example, many EVs are equipped with a regenerative breaking system, which generates power whenever the brake decelerates the EV. To manage this situation, we conjecture two battery properties for charge process: (a) deciding which batteries and how much individual batteries are charged is as important as that for discharge process; and (b) there exist non-linear characteristics for battery charge process corresponding to those for discharge process. Provided that the two hypotheses are valid, scheduling of battery charge and rest can potentially improve BMS performance.
UR - https://www.scopus.com/pages/publications/84954119602
U2 - 10.1145/2735960.2735989
DO - 10.1145/2735960.2735989
M3 - Conference contribution
AN - SCOPUS:84954119602
T3 - ACM/IEEE 6th International Conference on Cyber-Physical Systems, ICCPS 2015
SP - 256
BT - ACM/IEEE 6th International Conference on Cyber-Physical Systems, ICCPS 2015
PB - Association for Computing Machinery, Inc
Y2 - 14 April 2015 through 16 April 2015
ER -