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In order to fully recover the downhill regenerative braking energy of vehicles and maintain battery cycle life, and based on the analysis on the global optimal control strategy of regenerative braking energy of vehicles in cruising downhill, a model predictive control strategy of regenerative braking model for hybrid electric vehicle cruising downhill is proposed with maximizing regenerative braking energy and minimizing battery temperature rising rate as bi-objectives. The results of cruising downhill simulation at different slope lengths and gradients show that the model predictive control strategy achieves good control effects in terms of recovery rate of braking energy and the temperature rise and charging rate of battery, with higher computing efficiency, meeting the requirements of real-time control. [ABSTRACT FROM AUTHOR]

A three-dimensional heat dissipation model is built for the lithium-ion battery pack in an electric vehicle. Both simulation and test are conducted on the temperature field of lithium-ion battery pack in a condition of cruise driving and natural air cooling with a result showing their consistency in temperature variation trend, meaning the rationality of the model built. On this basis an optimization scheme for the heat dissipation structure of lithium-ion battery pack is proposed and a simulation is performed. The results indicate that after optimization, lithium-ion battery pack has a good cooling effects: the highest temperature of battery pack lowers from 46°C to 33°C and the temperature difference among the batteries is less than 6°C. [ABSTRACT FROM AUTHOR]