TY - GEN
T1 - Fast photovoltaic array reconfiguration for partial solar powered vehicles
AU - Kim, Jaemin
AU - Wang, Yanzhi
AU - Pedram, Massoud
AU - Chang, Naehyuck
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - This paper demonstrates that a partially solar powered EV can significantly save battery energy during cruising using innovative fast photovoltaic array (PV) reconfiguration. Use of all the vehicle surface areas, such as the hood, rooftop, door panels, quarter panels, etc., makes it possible to install more PV modules, but it also results in severe performance degradation due to inherent partial shading. This paper introduces fast online PV array reconfiguration and customization of the PV array installation according to the driving pattern and overcomes the partial shading phenomenon. We implement a high-speed, high-voltage PV reconfiguration switch network with IGBTs (insulated-gate bipolar transistors) and a controller. We derive the optimal reconfiguration period based on the solar irradiance/driving profiles using adaptive learning method, where the on/off delay of IGBT, CAN (control area network) delay, computation overhead, and energy overhead are taken into account. Experimental results show 25% more power generation from the PV array. This paper also introduces two important design-time optimization problems to achieve trade-off between performance and overhead. We derive the optimal PV reconfiguration granularity and partial PV array mounting by the car owner's driving pattern, which results in more than 20% PV cell cost reduction.
AB - This paper demonstrates that a partially solar powered EV can significantly save battery energy during cruising using innovative fast photovoltaic array (PV) reconfiguration. Use of all the vehicle surface areas, such as the hood, rooftop, door panels, quarter panels, etc., makes it possible to install more PV modules, but it also results in severe performance degradation due to inherent partial shading. This paper introduces fast online PV array reconfiguration and customization of the PV array installation according to the driving pattern and overcomes the partial shading phenomenon. We implement a high-speed, high-voltage PV reconfiguration switch network with IGBTs (insulated-gate bipolar transistors) and a controller. We derive the optimal reconfiguration period based on the solar irradiance/driving profiles using adaptive learning method, where the on/off delay of IGBT, CAN (control area network) delay, computation overhead, and energy overhead are taken into account. Experimental results show 25% more power generation from the PV array. This paper also introduces two important design-time optimization problems to achieve trade-off between performance and overhead. We derive the optimal PV reconfiguration granularity and partial PV array mounting by the car owner's driving pattern, which results in more than 20% PV cell cost reduction.
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U2 - 10.1145/2627369.2627623
DO - 10.1145/2627369.2627623
M3 - Conference contribution
AN - SCOPUS:84906812679
SN - 9781450329750
T3 - Proceedings of the International Symposium on Low Power Electronics and Design
SP - 357
EP - 362
BT - ISLPED 2014 - Proceedings of the 2014 International Symposium on Low Power Electronics and Design
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED 2014
Y2 - 11 August 2014 through 13 August 2014
ER -