TY - GEN
T1 - Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system
AU - Ding, Caiwen
AU - Li, Ji
AU - Zheng, Weiwei
AU - Chang, Naehyuck
AU - Lin, Xue
AU - Wang, Yanzhi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/2/16
Y1 - 2017/2/16
N2 - Electric vehicles (EVs) and hybrid electric vehicles (HEVs) are growing in popularity. Onboard photovoltaic (PV) systems have been proposed to overcome the limited all-electric driving range of EVs/HEVs. However, there exist obstacles to the wide adoption of onboard PV systems such as low efficiency, high cost, and low compatibility. To tackle these limitations, we propose to adopt the semiconductor nanomaterial-based luminescent solar concentrator (LSC)-enhanced PV cells into the onboard PV systems. In this paper, we investigate methods of accelerating the reconfiguration algorithm for the LSC-enhanced onboard PV system to reduce computational/energy overhead and capital cost. First, in the system design stage, we group LSC-enhanced PV cells into macrocells and reconfigure the onboard PV system based on macrocells. Second, we simplify the partial shading scenario by assuming an LSC-enhanced PV cell is either lighted or completely shaded (Algorithm 1). Third, we make use of the observation that the conversion efficiency of the charger is high and nearly constant as long as its input voltage exceeds a threshold value (Algorithm 2). We test and evaluate the effectiveness of the proposed two algorithms by comparing with the optimal PV array reconfiguration algorithm and simulating an LSC-enhanced reconfigurable onboard PV system using actually measured solar irradiance traces during vehicle driving. Experiments demonstrate the output power of algorithm 1 in the first scenario is 9.0% lower in average than that of the optimal PV array reconfiguration algorithm. In the second scenario, we observe an average of 1.16X performance improvement of the proposed algorithm 2.
AB - Electric vehicles (EVs) and hybrid electric vehicles (HEVs) are growing in popularity. Onboard photovoltaic (PV) systems have been proposed to overcome the limited all-electric driving range of EVs/HEVs. However, there exist obstacles to the wide adoption of onboard PV systems such as low efficiency, high cost, and low compatibility. To tackle these limitations, we propose to adopt the semiconductor nanomaterial-based luminescent solar concentrator (LSC)-enhanced PV cells into the onboard PV systems. In this paper, we investigate methods of accelerating the reconfiguration algorithm for the LSC-enhanced onboard PV system to reduce computational/energy overhead and capital cost. First, in the system design stage, we group LSC-enhanced PV cells into macrocells and reconfigure the onboard PV system based on macrocells. Second, we simplify the partial shading scenario by assuming an LSC-enhanced PV cell is either lighted or completely shaded (Algorithm 1). Third, we make use of the observation that the conversion efficiency of the charger is high and nearly constant as long as its input voltage exceeds a threshold value (Algorithm 2). We test and evaluate the effectiveness of the proposed two algorithms by comparing with the optimal PV array reconfiguration algorithm and simulating an LSC-enhanced reconfigurable onboard PV system using actually measured solar irradiance traces during vehicle driving. Experiments demonstrate the output power of algorithm 1 in the first scenario is 9.0% lower in average than that of the optimal PV array reconfiguration algorithm. In the second scenario, we observe an average of 1.16X performance improvement of the proposed algorithm 2.
KW - EV/HEV
KW - Luminescent solar concentrator
KW - Partial Shading
KW - Photovoltaic
KW - Reconfiguration
UR - http://www.scopus.com/inward/record.url?scp=85015275330&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015275330&partnerID=8YFLogxK
U2 - 10.1109/ASPDAC.2017.7858342
DO - 10.1109/ASPDAC.2017.7858342
M3 - Conference contribution
AN - SCOPUS:85015275330
T3 - Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
SP - 318
EP - 323
BT - 2017 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017
Y2 - 16 January 2017 through 19 January 2017
ER -