Development of Plug-In Hybrid System for Midsize Car

Kamichi, Kensuke; Fushiki, Shunsuke; Yoda, Takehito; Kurachi, Saeko; Kojima, Kensuke

doi:10.4271/2012-01-1014

“…lower than the minimum boundary and the required power of vehicle is more than that generated by the engine at the optimal operating point, the basic strategy has two different cases: (1) the vehicle is driven only by the engine to avoid excessive battery discharge [13]; (2) the vehicle is driven by both the engine and the motor together while the range of the SOC in the CS mode is temporarily extended to ensure fuel economy and power [25]. The two cases of basic strategy have both been simulated for comparison with the proposed strategy.…”

Section: Simulation In the Cs Modementioning

confidence: 99%

“…Currently, to solve this problem, there are two major solutions: (1) maintaining the minimum boundary of the SOC at a higher level in mountainous terrain, such as 50%, to avoid excessive battery discharge during the hybrid driving phase in the CS mode [24]. However, this solution requires more battery capacity to satisfy the requirement of the AER, which will increase the cost of the vehicle; (2) temporarily extending the minimum boundary of the SOC to meet the requirement of excessive electricity during the hybrid driving phase in the CS mode [25]. However, to restore the power of the battery, it needs to be continuously charged by the engine after driving through the uphill terrain, which increases the fuel consumption.…”

Section: Introductionmentioning

confidence: 99%

Optimal Energy Management Strategy for a Plug-in Hybrid Electric Vehicle Based on Road Grade Information

Liu

¹

,

Li

²

,

Ye

³

et al. 2017

View full text Add to dashboard Cite

Abstract:Energy management strategies (EMSs) are critical for the improvement of fuel economy of plug-in hybrid electric vehicles (PHEVs). However, conventional EMSs hardly consider the influence of uphill terrain on the fuel economy and battery life, leaving vehicles with insufficient battery power for continuous uphill terrains. Hence, in this study, an optimal control strategy for a PHEV based on the road grade information is proposed. The target state of charge (SOC) is estimated based on the road grade information as well as the predicted driving cycle on uphill road obtained from the GPS/GIS system. Furthermore, the trajectory of the SOC is preplanned to ensure sufficient electricity for the uphill terrain in the charge depleting (CD) and charge sustaining (CS) modes. The genetic algorithm is applied to optimize the parameters of the control strategy to maintain the SOC of battery in the CD mode. The pre-charge mode is designed to charge the battery in the CS mode from a reasonable distance before the uphill terrain. Finally, the simulation model of the powertrain system for the PHEV is established using MATLAB/Simulink platform. The results show that the proposed control strategy based on road-grade information helps successfully achieve better fuel economy and longer battery life.

show abstract

“…When the studies on Electric Vehicles (EVs) are examined, it is seen that many types of research have been done in both automotive organizations and universities, and prototypes have been developed and commercially launched since the 1970s. Since the technical and financial problems of energy storage could not be fully solved in the past, such vehicles have never been able to replace internal combustion engine (ICE) vehicles [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Alan Odaklı Vektör Kontrol Yaklaşımı ile Elektrikli Scooter BLDCM için Kayan Kip Tabanlı Çekiş Kontrol Sistemi Tasarımı

Uyulan

¹

,

Arslan

²

2023

DEUFMD

0

View full text Add to dashboard Cite

Nowadays brushless DC motors (BLDCMs) are becoming indispensable components as the electrification revolution in the mobility industry is happening. Electric kick scooters, so-called e-scooters, are among these micro-mobility vehicles which are powered by these motors. Due to the uncertain and nonlinear features, the controller performance developed for these motors degrades. For these reasons, a chattering-reduced cascaded Sliding Mode Control (SMC) scheme to effectively track reference motor speed in the outer loop by eliminating torque ripples in the inner loop current control was designed. Field-oriented Control (FOC) methodology was used to implement the SMC in the BLDCM. An exponential reaching law algorithm was proposed for sliding surfaces of the inner and outer loop controllers. The suitability and performance of electric scooter-hub motors were analyzed in terms of traction control. A cascaded speed and torque controller produced significantly favorable results representing minimized torque and current ripples, and operation over a wide speed range.

show abstract

“…When the studies on Electric Vehicles (EVs) are examined, it is seen that many types of research have been done in both automotive organizations and universities, and prototypes have been developed and commercially launched since the 1970s. Since the technical and financial problems of energy storage could not be fully solved in the past, such vehicles have never been able to replace internal combustion engine (ICE) vehicles [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Sliding Mode-based Traction Control System Design for Electric Scooter BLDCM through Field-Oriented Vector Control Approach

Uyulan¹,

Arslan²

2022

Preprint

0

View full text Add to dashboard Cite

Nowadays brushless DC motors (BLDCMs) are becoming indispensable components as the electrification revolution in the mobility industry is happening. Electric kick scooters, so-called e-scooters, are among these micro-mobility vehicles which are powered by these motors. Due to the uncertain and nonlinear features, the controller performance developed for these motors degrades. For these reasons, a chattering-reduced cascaded Sliding Mode Control (SMC) scheme to effectively track reference motor speed in the outer loop by eliminating torque ripples in the inner loop current control was designed. Field-oriented Control (FOC) methodology was used to implement the SMC in the BLDCM. An exponential reaching law algorithm was proposed for sliding surfaces of the inner and outer loop controllers. The suitability and performance of electric scooter-hub motors were analyzed in terms of traction control. A cascaded speed and torque controller produced significantly favorable results representing minimized torque and current ripples, and operation over a wide speed range.

show abstract

Development of Plug-In Hybrid System for Midsize Car

Cited by 15 publications

References 2 publications

Optimal Energy Management Strategy for a Plug-in Hybrid Electric Vehicle Based on Road Grade Information

Optimal Energy Management Strategy for a Plug-in Hybrid Electric Vehicle Based on Road Grade Information

Alan Odaklı Vektör Kontrol Yaklaşımı ile Elektrikli Scooter BLDCM için Kayan Kip Tabanlı Çekiş Kontrol Sistemi Tasarımı

Sliding Mode-based Traction Control System Design for Electric Scooter BLDCM through Field-Oriented Vector Control Approach

Contact Info

Product

Resources

About