A New MPPT Algorithm for Vehicle Integrated Solar Energy System

Photovoltaic (PV) systems are considered as a support unit and eco-friendly energy source for the electric vehicles. If the surface of the electric vehicle is covered by PV cells, it is possible to store considerable amount of energy in the battery system. In this study, different maximum power point trackers (MPPT) with different maximum power point (MPP) tracking algorithms have been tested on a PV structure moving according to a predefined motion loop. Compatibility of each algorithm to moving systems, such as electric vehicles, is presented in a real experimental environment. As a result of these experiments, positive factors in each algorithm have been defined and a new MPP tracking algorithm convenient for moving vehicle has been proposed. The proposed MPPT algorithm shows a better performance than other MPPT algorithms under fast varying radiations. However, proposed algorithm brings slightly higher costs compared to usage of other MPPT algorithms since it requires the measurement of solar irradiance. The developed algorithm is described in detail and comparative analysis and performance evaluation with other algorithms are presented. Autor Nakir, Ismail; Durusu, Ali; Akca, Hakan; Ajder, Ali; Ayaz, Ramazan; Ugur, Enes; Tanrioven, Mugdesem Quelle Transactions of the ASME, Journal of Energy Resources Technology * Band 138 (2016) Heft 2, Seite 021601/1-9 (9 Seiten)

[1]  Shih Hung Ko,et al.  Photovoltaic dynamic MPPT on a moving vehicle , 2012 .

[2]  M. E. Ropp,et al.  Comparative study of maximum power point tracking algorithms , 2003 .

[3]  Weidong Xiao,et al.  A modified adaptive hill climbing MPPT method for photovoltaic power systems , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[4]  Luigi Piegari,et al.  Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking , 2010 .

[5]  Stefano Alessandrini,et al.  Modeling and Performance Analysis of an Integrated System: Variable Speed Operated Internal Combustion Engine Combined Heat and Power Unit–Photovoltaic Array , 2015 .

[6]  M. Tanrioven,et al.  Performance Comparison of Widely-Used Maximum Power Point Tracker Algorithms under Real Environmental Conditions , 2014 .

[7]  Marko Topič,et al.  Comparison of direct maximum power point tracking algorithms using EN 50530 dynamic test procedure , 2011 .

[8]  Nobuyoshi Mutoh,et al.  A Method for MPPT Control While Searching for Parameters Corresponding to Weather Conditions for PV Generation Systems , 2004, IEEE Transactions on Industrial Electronics.

[9]  Alberto Boretti,et al.  Energy Recovery in Passenger Cars , 2012 .

[10]  Joe-Air Jiang,et al.  On application of a new hybrid maximum power point tracking (MPPT) based photovoltaic system to the closed plant factory , 2014 .

[11]  Carlos A. Canesin,et al.  Evaluation of the Main MPPT Techniques for Photovoltaic Applications , 2013, IEEE Transactions on Industrial Electronics.

[12]  Andreas A. Malikopoulos Impact of Component Sizing in Plug-In Hybrid Electric Vehicles for Energy Resource and Greenhouse Emissions Reduction , 2013 .

[13]  Gregory J. Kish,et al.  Modelling and control of photovoltaic panels utilising the incremental conductance method for maximum power point tracking , 2012 .

[14]  S Ahmed,et al.  High-Performance Adaptive Perturb and Observe MPPT Technique for Photovoltaic-Based Microgrids , 2011, IEEE Transactions on Power Electronics.

[15]  Yuji Ando,et al.  Maximum output control of photovoltaic (PV) array , 2000, Collection of Technical Papers. 35th Intersociety Energy Conversion Engineering Conference and Exhibit (IECEC) (Cat. No.00CH37022).

[16]  N. Dasgupta,et al.  High-Performance Algorithms for Drift Avoidance and Fast Tracking in Solar MPPT System , 2008, IEEE Transactions on Energy Conversion.

[17]  R. Faranda,et al.  Experimental test of seven widely-adopted MPPT algorithms , 2009, 2009 IEEE Bucharest PowerTech.

[18]  Chihchiang Hua,et al.  Comparative study of peak power tracking techniques for solar storage system , 1998, APEC '98 Thirteenth Annual Applied Power Electronics Conference and Exposition.

[19]  Frank Kreith,et al.  Potential Benefits of Plug-In Hybrid Electric Vehicles for Consumers and Electric Power Utilities , 2011 .

[20]  M. Tanrioven,et al.  Performance assessment of MPPT algorithms for vehicle integrated solar systems , 2012, 2012 IEEE International Energy Conference and Exhibition (ENERGYCON).

[21]  Chih-Chiang Hua,et al.  Direct power control for distributed PV power system , 2002, Proceedings of the Power Conversion Conference-Osaka 2002 (Cat. No.02TH8579).

[22]  Tsutomu Hoshino,et al.  Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions , 1995 .

[23]  Kashif Ishaque,et al.  The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions , 2014 .

[24]  Frank Kreith,et al.  The Use of Plug-In Hybrid Electric Vehicles For Peak Shaving , 2016 .

[25]  Andres Barrado,et al.  Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems , 2006 .

[26]  P.J. Wolfs,et al.  A Single Cell Maximum Power Point Tracking Converter without a Current Sensor for High Performance Vehicle Solar Arrays , 2005, 2005 IEEE 36th Power Electronics Specialists Conference.