Study on the Energy Management Policy of Extended-range Electric Vehicles Based on Neutral Network

Aimed at the different characteristics from general fuel-cell vehicles of extended-range electric vehicles(E-REVs) with a fuel-cell stack as the Range Extender(RE),a new energy management strategy was presented,which considered the efficiency of the fuel-cell stack and the charging and discharging efficiency of battery.The strategy was realized by neural network,which was simulated with the E-REV model set up with ADVISOR.And a longer driving range was obtained.