A highly efficient energy management system for hybrid electric vehicles (HEV), using neural netw... more A highly efficient energy management system for hybrid electric vehicles (HEV), using neural networks (NN), was developed and tested. The system minimizes the energy requirement of the vehicle and can work with different primary power sources like fuel-cells, microturbines, zinc-air batteries or other supply with poor ability to recover energy from regenerative braking, or with scarce power capacity for fast acceleration. The experimental HEV uses lead-acid batteries, an ultracapacitor bank, and a brushless dc motor with a nominal power of 32 kW, and a peak power of 53 kW. The control system, based on a DSP, measures and stores the following parameters: primary source voltage, car speed, instantaneous currents in both terminals (primary source and ultracapacitor), and actual voltage of the ultracapacitor. The increase in range with ultracapacitors has been around 5.3 % in city tests, compared when only lead acid batteries are used, but when optimal control with NN is used, this figure increases to 8.9 %. The car used for this experiment is a Chevrolet LUV truck, similar in shape and size to a Chevrolet S-10, which was converted to an electric vehicle at the Universidad Católica de Chile. Numerous experimental tests under different conditions are compared and discussed.
A highly efficient energy management system for hybrid electric vehicles (HEV), using neural netw... more A highly efficient energy management system for hybrid electric vehicles (HEV), using neural networks (NN), was developed and tested. The system minimizes the energy requirement of the vehicle and can work with different primary power sources like fuel-cells, microturbines, zinc-air batteries or other supply with poor ability to recover energy from regenerative braking, or with scarce power capacity for fast acceleration. The experimental HEV uses lead-acid batteries, an ultracapacitor bank, and a brushless dc motor with a nominal power of 32 kW, and a peak power of 53 kW. The control system, based on a DSP, measures and stores the following parameters: primary source voltage, car speed, instantaneous currents in both terminals (primary source and ultracapacitor), and actual voltage of the ultracapacitor. The increase in range with ultracapacitors has been around 5.3 % in city tests, compared when only lead acid batteries are used, but when optimal control with NN is used, this figure increases to 8.9 %. The car used for this experiment is a Chevrolet LUV truck, similar in shape and size to a Chevrolet S-10, which was converted to an electric vehicle at the Universidad Católica de Chile. Numerous experimental tests under different conditions are compared and discussed.
Uploads
Papers by Jorge Moreno