TY - GEN
T1 - Cost-effective design of a hybrid electrical energy storage system for electric vehicles
AU - Zhu, Di
AU - Yue, Siyu
AU - Park, Sangyoung
AU - Wang, Yanzhi
AU - Chang, Naehyuck
AU - Pedram, Massoud
PY - 2014/10/12
Y1 - 2014/10/12
N2 - A comprehensive economic feasibility analysis and a cost-driven design methodology are essential to the successful application of hybrid electrical energy storage (HEES) systems in electric vehicles (EVs). This paper thus focuses on designing a cost-effective and high-performance HEES system for EVs, comprising of a supercapacitor bank and a lithium-ion (Li-ion) battery bank. In particular, the paper formulates the capacity provisioning problem for the EV HEES system so as to minimize the total system cost, utilizing accurate models of the battery cycle efficiency and state of health, characteristics of the supercapacitor bank, and dynamics of the EV. The aforesaid problem is subsequently solved by combining a gradient descent-based approach with a simulated annealing-based algorithm. Simulation results show that the proposed EV HEES system achieves 21% lower total cost per day and 30% higher fuel economy compared to a baseline homogeneous electrical energy storage system comprised of Li-ion batteries only.
AB - A comprehensive economic feasibility analysis and a cost-driven design methodology are essential to the successful application of hybrid electrical energy storage (HEES) systems in electric vehicles (EVs). This paper thus focuses on designing a cost-effective and high-performance HEES system for EVs, comprising of a supercapacitor bank and a lithium-ion (Li-ion) battery bank. In particular, the paper formulates the capacity provisioning problem for the EV HEES system so as to minimize the total system cost, utilizing accurate models of the battery cycle efficiency and state of health, characteristics of the supercapacitor bank, and dynamics of the EV. The aforesaid problem is subsequently solved by combining a gradient descent-based approach with a simulated annealing-based algorithm. Simulation results show that the proposed EV HEES system achieves 21% lower total cost per day and 30% higher fuel economy compared to a baseline homogeneous electrical energy storage system comprised of Li-ion batteries only.
KW - Cost efficiency
KW - Electric vehicles
KW - Hybrid energy storage systems
UR - http://www.scopus.com/inward/record.url?scp=84910607688&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84910607688&partnerID=8YFLogxK
U2 - 10.1145/2656075.2656082
DO - 10.1145/2656075.2656082
M3 - Conference contribution
AN - SCOPUS:84910607688
T3 - 2014 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2014
BT - 2014 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2014
PB - Association for Computing Machinery
T2 - 2014 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2014
Y2 - 12 October 2014 through 17 October 2014
ER -