Table 1.
Comparison of advantages and disadvantages of literature review.
Fig 1.
The flow of braking current when the electric vehicle is powered off.
Fig 2.
Schematic diagram of electric vehicle recovery power distribution system based on FC.
Fig 3.
Schematic diagram of firefly initialization operation logic for FA.
Fig 4.
Schematic diagram of the operation logic of the improved genetic algorithm.
Fig 5.
The process of FC-FA.
Table 2.
Control rules for braking energy of electric vehicles.
Fig 6.
Allocation method of FC-FA model in ADVISOR software.
Table 3.
Statistics of braking process parameters.
Fig 7.
Surface recognition diagram of the effect of FC control algorithm on the braking intensity, moving speed, and SOC index of electric vehicles.
Fig 8.
Comparison of the control efficiency of electric vehicle braking energy recovery between the control algorithm and comparative methods.
Table 4.
Relevant parameter settings for the algorithm proposed in the experiment.
Fig 9.
Comparison of battery terminal energy recovery before and after FA optimization.
Fig 10.
Comparison of braking energy recovery under two different road conditions.
Fig 11.
Energy recovery of electric vehicle braking before and after FA optimization.
Fig 12.
Parameter changes in the braking energy recovery process of the FC-FA.
Table 5.
SOC changes and actual application verification results of battery terminal energy output values under four control methods.
Table 6.
Summary of research results.