To improve mechanical efficiency, the tribological performance of short period intermittent motion needs to be investigated. Based on the theory of thermal elastohydrodynamic lubrication (EHL) and considering the influences of rough surface, a mixed-EHL model under point contact simple sliding intermittent motion is established. Using this model, the transition from mixed-EHL to EHL in the contact area is realized by changing the period of intermittent motion and setting the surface roughness. It is found that the thermal effect in simple sliding intermittent motion should not be ignored, and the pressure, temperature rise distribution and friction coefficient during the stop and start-up are fluctuated obviously. Under the condition of rough surface contact, the contact area will enter the mixed-EHL state during the stop and start-up. Shortening the period of intermittent motion is beneficial to alleviate the adverse effect of the mixed-EHL.
In the use of electric vehicles, the charging time, battery capacity and energy efficiency of the power battery are common concerns of consumers during the charging process. However, the traditional normal charging and fast charging methods do not always meet the charging needs of users; therefore, this paper proposes an optimal charging strategy based on intelligent algorithms for power battery performance improvement strategy of smart networked vehicles. The equivalent circuit model constructed firstly, the simulation analysis and strategy optimization of the multi-stage charging strategy are carried out, and then the multi-stage charging strategy is optimized based on MOPSO algorithm, the objective function is constructed, and the constraints are determined. Finally, the experimental comparison analysis between the multi-stage charging strategy and the constant-current and constant-voltage charging strategy is carried out by the multiobjective optimized multi-stage charging strategy. The results show that the charging time of the method in this paper is shortened by 6.6% and the maximum battery temperature rise is reduced by 2.6%.
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