Refrigeration Load Identification of Hybrid Electric Trucks University of Waterloo

Format:

Conference/Event

Author/Creator:

Mohagheghi fard, Mohagheghi fard, author.

Contributor:

Khajepour, Amir

Mendes, Chris J.

Rezaeian, Ayyoub

Conference Name:

SAE 2014 World Congress & Exhibition (2014-04-08 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2014

Summary:

AbstractThis paper seeks to identify the refrigeration load of a hybrid electric truck in order to find the demand power required by the energy management system. To meet this objective, in addition to the power consumption of the refrigerator, the vehicle mass needs to be estimated. The Recursive Least Squares (RLS) method with forgetting factors is applied for this estimation. As an example of the application of this parameter identification, the estimated parameters are fed to the energy control strategy of a parallel hybrid truck. The control system calculates the demand power at each instant based on estimated parameters. Then, it decides how much power should be provided by available energy sources to minimize the total energy consumption.The simulation results show that the parameter identification can estimate the vehicle mass and refrigeration load very well which is led to have fairly accurate power demand prediction. As a result, the energy management system can work to improve the fuel economy of the refrigerator truck

Notes:

Vendor supplied data

Publisher Number:

2014-01-1897

Access Restriction:

Restricted for use by site license