Incorporating Driving Style Recognition Into MPC for Energy Management of Plug-In Hybrid Electric Buses

Tian, Xiang; Cai, Yingfeng; Sun, Xiaodong; Zhen, Zaili; Wang, Yong; Xu, Yiqiang

doi:10.1109/tte.2022.3181201

Cited by 16 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In other cases, u r is located in region ffi, as demonstrated in Figure 7(a), where u 1x ,u 1y and u 2x , u 2y are obtained from Inverter 1 and Inverter 2, respectively. t x and t y are calculate by (2), and the time duration for two inverters are regulated according to the rules of t x , t y , and T s as described in Table I.…”

Section: Lower-level Controlmentioning

confidence: 99%

“…The commercial vehicles, owing to the potential for achieving the higher commuting efficiency, are playing an important role in the domain of public transportation. 1,2 Electric power steering (EPS) systems demonstrate outstanding features, such as green environmental protection, high-level efficiency and energy saving, and good steering characteristics, which represents the development direction of intelligent steering in the future. 3 Because the current 12 V (passenger car) or 24 V (commercial vehicle) on-board battery voltage system limits the power of the steering motor, the research on EPS system focuses on passenger car with small forward load, [4][5][6] while the research on EPS for commercial vehicle with large forward load has not been solved well.…”

Section: Introductionmentioning

confidence: 99%

“…7 When comparing EPS system with hydraulic power steering (HPS) system, the EPS systems show many better performances compared to HPS systems, specifically: (1) The EPS does not need to drive from the engine so the engine does not have to use hybrid power for the power steering system so it will save fuel when operating. (2) The EPS does not 1 College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou, China use the fluid (hydraulic oil) to drive power, so it ensures more environmental hygiene. (3) The EPS has a simple structure, much lighter than HPS.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A novel dual power-driven electric power steering system for electric commercial vehicles

Fu,

Lu,

Zhao

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

To solve the power limitation problem faced by the development of EPS system for commercial vehicles and achieve the high-performance steering, this article presents a novel dual power-driven electric power steering system (DPEPS) for commercial vehicles by using the open winding permanent magnet synchronous motor (OPMSM) fed by dual inverter with high and low DC voltage supplies. First, the two-level control strategy is introduced for the developed DPEPS system, where the upper control is designed to make the actual steering follow the expected steering performance as determined by the assistant torque curve and to generate the appropriate target current according to the vehicle speed and steering torque. And then the lower control consists of the synthetical space vector control scheme and dual PI control loop is used to execute commands from the upper control, which can make the motor execute the appropriate power supply method according to the steering torque and assist current. Finally, a co-simulation model is carried out for an electric bus, and based on which the proposed DPEPS system is validated.

show abstract

Section: Lower-level Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel dual power-driven electric power steering system for electric commercial vehicles

Fu,

Lu,

Zhao

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…As far as we know, conventional PI controllers with fixed parameters are not suitable for regulating the engine speed because of their complicated dynamic characteristics [36][37][38]. The parameters of the controller must be adjusted according to the actual operating state of the engine.…”

Section: Control Strategy For the Enginementioning

confidence: 99%

A Novel Coordinated Control Strategy for Parallel Hybrid Electric Vehicles during Clutch Slipping Process

Tian

Wang

et al. 2022

Applied Sciences

Self Cite

View full text Add to dashboard Cite

For parallel hybrid electric vehicles (HEVs), the clutch serves as a vital enabling actuator element during mode transitions. The expected drivability and smoothness of parallel HEVs are difficult to be achieve owing to the neglect of clutch-torque-induced disturbance and different response characteristics of power sources during clutch slipping. To address this issue, this paper proposes a novel control strategy to coordinate the engine and motor during the clutch slipping process. A sliding mode control strategy based on a group-preserving scheme was applied to control the motor. The vehicle dynamic equation was constructed by the sliding surface with the Lagrange function. The equation solutions obtained by introducing the Runge–Kutta method were used as motor control inputs. Meanwhile, an adaptive PI controller was designed to regulate engine speed for the reduction in the speed difference of the clutch. The hardware-in-the-loop simulations were conducted to validate the outstanding performance of the proposal strategy. The verification results indicate that the proposed strategy not only reduces the vehicle jerk and frictional losses effectively, but also improves vehicle driving comfort and reliability.

show abstract

“…An important topic in these studies is the development of technological systems that improve EVs' autonomy. For this, it is necessary to have mathematical or behavioral models that represent the dynamic characteristics of the EV, terrain, and load, to design control and energy management systems [11], [12] that improve their performance.…”

Section: Introductionmentioning

confidence: 99%

Instrumentation and Dynamic Characterization of a Commercial Electric Vehicle for Rural Public Transport

et al. 2023

View full text Add to dashboard Cite

This work presents the instrumentation, modeling, and parameterization of an electric vehicle used for public transport. The aim is to characterize the mathematical model for its application in control systems design. A system identification technique based on a gray box approach is used to estimate specific parameters of the longitudinal model that cannot be measured directly. For this purpose, a data acquisition system was designed using high-amperage current sensors and an Odroid XU4 embedded system that records the vehicle's input current, displacement, and velocity. Additionally, a semi-automatic acceleration system was developed to introduce a pseudo-random binary-type acceleration signal to excite all possible vehicle frequencies to perform the parameter identification.

show abstract

Incorporating Driving Style Recognition Into MPC for Energy Management of Plug-In Hybrid Electric Buses

Cited by 16 publications

References 36 publications

A novel dual power-driven electric power steering system for electric commercial vehicles

A novel dual power-driven electric power steering system for electric commercial vehicles

A Novel Coordinated Control Strategy for Parallel Hybrid Electric Vehicles during Clutch Slipping Process

Instrumentation and Dynamic Characterization of a Commercial Electric Vehicle for Rural Public Transport

Contact Info

Product

Resources

About