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Statistic Method for Extraction of Synthetic Load Cycles

Jens Groot (Institutionen för energi och miljö, Elteknik)
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 (2009), p. 1336-1343.
[Konferensbidrag, refereegranskat]

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.

Nyckelord: battery model, battery SoH (State of Health), cycle life, lithium battery, energy storage

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Denna post skapades 2013-01-10. Senast ändrad 2016-06-03.
CPL Pubid: 169938


Institutioner (Chalmers)

Institutionen för energi och miljö, Elteknik (2005-2017)


Hållbar utveckling
Matematisk statistik

Chalmers infrastruktur

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State-of-Health Estimation of Li-ion Batteries: Ageing Models