2016
DOI: 10.1016/j.enconman.2015.12.077
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Model predictive control-based efficient energy recovery control strategy for regenerative braking system of hybrid electric bus

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Cited by 172 publications
(86 citation statements)
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“…The vehicle model was designed in the CarSim software, but the complete powertrain model of the BEV is not included in Carsim, so external models of the motor and battery were added. An internal resistance model was adopted for the battery component [24] as in Figure 2, wherein, the V oc and R int are the open circuit voltage and battery internal resistance, respectively, and the U c and I c are the voltage and current of external load. The efficiency of the battery related to the internal resistance of the battery is considered in the battery model.…”
Section: Model For Bevmentioning
confidence: 99%
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“…The vehicle model was designed in the CarSim software, but the complete powertrain model of the BEV is not included in Carsim, so external models of the motor and battery were added. An internal resistance model was adopted for the battery component [24] as in Figure 2, wherein, the V oc and R int are the open circuit voltage and battery internal resistance, respectively, and the U c and I c are the voltage and current of external load. The efficiency of the battery related to the internal resistance of the battery is considered in the battery model.…”
Section: Model For Bevmentioning
confidence: 99%
“…The efficiency of the battery related to the internal resistance of the battery is considered in the battery model. The efficiency of the motor related to the speed and torque of the motor is considered in the motor model [24,25]. The maximum torque and speed characteristics for the motor are shown in Figure 3.…”
Section: Model For Bevmentioning
confidence: 99%
“…Using this network, the in-depth characteristics of the sample points and the optimization results were obtained through supervised learning to develop the control algorithm for vehicle braking. A simulation was performed using the normal braking condition, and the simulation results demonstrated that the control algorithm has higher control precision than conventional methods and better real-time performance than online optimization.Energies 2018, 11, 2322 2 of 18 be modulated to control the overall braking torque for meeting the requirements [5]. The regenerative braking torque depends on the motor characteristics [6], the charging power capability of the battery [7], and the available tire-road friction [8]; hence, existing research has focused on improving the braking energy recovery efficiency by distributing the torque between regenerative braking and friction braking based on drivers' demands.In engineering practice, several rule-based regenerative braking strategies have been proposed and used in recent years.…”
mentioning
confidence: 99%
“…Energies 2018, 11, 2322 2 of 18 be modulated to control the overall braking torque for meeting the requirements [5]. The regenerative braking torque depends on the motor characteristics [6], the charging power capability of the battery [7], and the available tire-road friction [8]; hence, existing research has focused on improving the braking energy recovery efficiency by distributing the torque between regenerative braking and friction braking based on drivers' demands.…”
mentioning
confidence: 99%
“…Among those, the hydraulic system is likely to be 33% smaller and 20% lighter than the closest electrical counterparts and is therefore a logical selection for regenerative braking. 4 Previous research presented that the major research topic of improving the energy recovery efficiency in hydraulic systems is system design, 6 structure, [7][8][9][10] and control strategy, [11][12][13] all manners are needed to know the key factors and dynamic characteristics previously to improve the regeneration efficiency, although the modeling uncertainties can be obtained with the appropriate method. 14 Apart from the traditional hydraulic systems, the electro-hydraulic composite braking system (EHCBS), which features in high-power density and energy conversion efficiency, has been proven suitable for heavy duty vehicles.…”
Section: Introductionmentioning
confidence: 99%