Many leading semiconductors companies (e.g. Philips, Texas Instruments, Microchip, Maxim, etc.) are paying even more attention to accurate State-of-Charge (SoC) indication. Following the technological revolution and the appearance of more power consuming devices on the automotive electronics and portable devices markets (e.g. Third Generation 3G cellular phones) the simple SoC indication system from the early 40's based on voltage and temperature measurements, have been replaced by more complicated and accurate SoC systems. The "dream" of the last 80 years of research in the SoC field is to design a universal SoC system that adapts on-line to any battery type without the user intervention. So far, no one succeeded in coming up with a SoC system that is accurate enough under all realistic user conditions. As is partially revealed by this thesis title, the final aim of the presented method is to design and test an SoC indication system capable of predicting the SoC and the remaining run-time of any Lithium (Li) battery with an accuracy of 1% or better under all realistic user conditions, including a wide variety of load currents and a wide temperature range. In order to achieve this goal a new system that incorporates on-line predictive and adaptation solutions is developed. The obtained results prove the capability of the developed SoC system to adapt to different battery chemistry types and to offer an accurate and universal SoC indication. A designer is also interested in the implementation requirements of the mathematical functions in a practical application. A possible implementation of the SoC algorithm on a mobile phone platform is presented. The applicability and usability of the SoC algorithm for a new developed ultra-fast recharging algorithm is also described.
|Award date||15 Feb 2007|
|Place of Publication||Enschede|
|Publication status||Published - 15 Feb 2007|