Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system

Caiwen Ding; Ji Li; Weiwei Zheng; Naehyuck Chang; Xue Lin; Yanzhi Wang

doi:10.1109/ASPDAC.2017.7858342

Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system

Caiwen Ding, Ji Li, Weiwei Zheng, Naehyuck Chang, Xue Lin, Yanzhi Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	2017 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	318-323
Number of pages	6
ISBN (Electronic)	9781509015580
DOIs	https://doi.org/10.1109/ASPDAC.2017.7858342
State	Published - Feb 16 2017
Event	22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017 - Chiba, Japan Duration: Jan 16 2017 → Jan 19 2017

Other

Other	22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017
Country/Territory	Japan
City	Chiba
Period	1/16/17 → 1/19/17

Keywords

EV/HEV
Luminescent solar concentrator
Partial Shading
Photovoltaic
Reconfiguration

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/ASPDAC.2017.7858342

Cite this

Ding, C., Li, J., Zheng, W., Chang, N., Lin, X., & Wang, Y. (2017). Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. In 2017 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017 (pp. 318-323). [7858342] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASPDAC.2017.7858342

Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. / Ding, Caiwen; Li, Ji; Zheng, Weiwei et al.

2017 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 318-323 7858342.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ding, C, Li, J, Zheng, W, Chang, N, Lin, X & Wang, Y 2017, Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. in 2017 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017., 7858342, Institute of Electrical and Electronics Engineers Inc., pp. 318-323, 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017, Chiba, Japan, 1/16/17. https://doi.org/10.1109/ASPDAC.2017.7858342

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title = "Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system",

abstract = "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.",

keywords = "EV/HEV, Luminescent solar concentrator, Partial Shading, Photovoltaic, Reconfiguration",

author = "Caiwen Ding and Ji Li and Weiwei Zheng and Naehyuck Chang and Xue Lin and Yanzhi Wang",

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AU - Li, Ji

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AU - Lin, Xue

AU - Wang, Yanzhi

PY - 2017/2/16

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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

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Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system

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