A Hybrid Maximum Power Point Tracking Method for Automobile Exhaust Thermoelectric Generator

2016 ◽  
Vol 46 (5) ◽  
pp. 2676-2683 ◽  
Author(s):  
Rui Quan ◽  
Wei Zhou ◽  
Guangyou Yang ◽  
Shuhai Quan
2014 ◽  
Vol 700 ◽  
pp. 694-697 ◽  
Author(s):  
Rui Quan

Considering the soft output performance of automobile exhaust thermoelectric generator (AETEG), an AETEG using Buck based DC/DC converter were established, based on the duty ratio disturbance observation method, an improved maximum power point tracking algorithm (MPPT) named adaptive hill climbing algorithm was present, including its principle and flow diagram. The simulation result based on UDDS driving cycle proves that the practical power of AETEG can follow its theoretic maximum output power, the algorithm has advantages on the dynamic and steady performance of AETEG in the MPPT.


2013 ◽  
Vol 368-370 ◽  
pp. 1327-1331
Author(s):  
Ya Li Liu ◽  
Ming Li ◽  
Xu Ji ◽  
Xi Luo

In order to maximize the output power of PV cells, an improved maximum power point tracking method has been proposed in this paper. The approach is a combination of Lagrange polynomial interpolation with perturb and observe (P&O) method. The MPPT method based on output characteristic curve can be rapidly stabilization of operating point in the approximate region near the maximum power point which shortened the response time. A comparison study between the classical P&O method and the improved method is done in order to validate the new MPPT method. The results showed that the oscillations around the MPP for improved method are almost eliminated, and the efficiency of the improved method is an average of 90.4% compared to 66.8% of the classical P&O method.


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