Statistic Method for Extraction of Synthetic Load Cycles
Paper i proceeding, 2009

Despite rapid development, the battery is still the single most expensive component in a HEV drivetrain. Consequently, its durability is critical to the overall feasibility of the vehicle. The battery ageing mechanisms and the resulting cycle life of HEV-optimised batteries are highly non-linear and difficult to test. In addition, the selection of load cycle profile is of great significance when battery cycle life is to be verified experimentally. This paper presents a statistic method for evaluation and simplification of dynamic load profiles based on measured load profiles from heavy-duty HEV applications. The presented method has been used to extract simplified synthetic load cycles with configurable energy throughput as well as different strategies for state-of-charge control. These cycles were also compared with reference cycles and evaluated regarding power distribution, energy distribution, energy window and energy throughput. The presented method was found to be a usable tool for creating new battery load cycles for cyclelife tests. In addition, it may be a useful to evaluate and compare statistical properties of measured cycles before initiating laboratory battery tests.

battery model

energy storage

battery SoH (State of Health)

lithium battery

cycle life


Jens Groot

Chalmers, Energi och miljö, Elkraftteknik

24th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition 2009, EVS 24; Stavanger; Norway; 13 May 2009 through 16 May 2009

Vol. 2 1336-1343
978-161567455-8 (ISBN)


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Sannolikhetsteori och statistik


Annan elektroteknik och elektronik



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