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The alternator provides power to vehicle electrical loads with the battery, and its maximum current depends on various factors such as electrical load, engine speed, thermal condition, and other variables. Above all, thermal effects make alternator simulations more complicated. For example statically similar conditions may show different results according to the temperature variation for each alternator operation. This paper proposes a two-stage statistically-based model structure which separates dynamic thermal effects from steady state performance. The method was validated by experiments and shows good predictive performance, suitable for use in test reduction.

Recently electric and electronic devices in vehicle have been rapidly increasing. Because the dynamic characteristics of these systems are too much complicated, it is getting very difficult to predict the change of electrical energy accurately. Especially, since the lead-acid battery has a fast aging process, managing the electrical energy in vehicle becomes more difficult. This paper shows the electrical energy simulator, which consists of a battery, an alternator and various electrical devices. In particular, proposed aging battery model was implemented using a finite element method (FEM) based on electrochemical approach. And the thermal characteristic of alternator is also focused on getting reliable performance. Finally, we validated the electrical energy simulator including this battery model on the actual conditions in vehicle.