TY - JOUR
T1 - Rule Based Energy Management Strategy for a Battery/Ultra-capacitor Hybrid Energy Storage System Optimized by Pseudospectral Method
AU - Li, Jun Qiu
AU - Fu, Zijian
AU - Jin, Xin
N1 - Publisher Copyright:
© 2017 The Authors. Published by Elsevier Ltd.
PY - 2017
Y1 - 2017
N2 - Low-temperature characteristics of hybrid energy storage system(HESS) and its topological structures are studied. In order to better utilize the high power density of ultra-capacitors, a logic threshold control strategy(LTCS) for HESS used in electric vehicles is proposed. The optimal control strategy can be obtained by using pseudospectral method, and it can be set as an evaluation criteria to evaluate the LTCS. Thus, an optimal LTCS is proposed. In comparison with the simulation results of LTCS, the optimal LTCS can help to make ultra-capacitors better exert the performance of high specific power and significantly reduce the energy loss of battery.
AB - Low-temperature characteristics of hybrid energy storage system(HESS) and its topological structures are studied. In order to better utilize the high power density of ultra-capacitors, a logic threshold control strategy(LTCS) for HESS used in electric vehicles is proposed. The optimal control strategy can be obtained by using pseudospectral method, and it can be set as an evaluation criteria to evaluate the LTCS. Thus, an optimal LTCS is proposed. In comparison with the simulation results of LTCS, the optimal LTCS can help to make ultra-capacitors better exert the performance of high specific power and significantly reduce the energy loss of battery.
KW - hybrid energy storage system
KW - logic threshold control strategy
KW - low-temperature characteristics
KW - pseudospectral method
UR - http://www.scopus.com/inward/record.url?scp=85020732497&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2017.03.920
DO - 10.1016/j.egypro.2017.03.920
M3 - Conference article
AN - SCOPUS:85020732497
SN - 1876-6102
VL - 105
SP - 2705
EP - 2711
JO - Energy Procedia
JF - Energy Procedia
T2 - 8th International Conference on Applied Energy, ICAE 2016
Y2 - 8 October 2016 through 11 October 2016
ER -