A Supervisory Energy-Saving Controller for a Novel Anti-Idling System of Service Vehicles

Huang, Yanjun; Khajepour, Amir; Zhu, Tianjun; Ding, Heng

doi:10.1109/tmech.2016.2631897

Cited by 48 publications

(22 citation statements)

References 41 publications

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“…On the one hand, from a perspective of location, products are referred to the mobile or stationary [9] as shown in Fig. 2; on the other hand, based on their functionality, products are defined as the partially functional and fully functional [10].…”

Section: Literature Reviewmentioning

confidence: 99%

“…6 Structure of the RAPS with a holistic controller addition, the prediction horizon will be enlarged to bring the solutions and global optimal solutions closer with no extra computational cost incurred. To show the advantages of the presented holistic MPC, the step size for prediction is set at 10 s and its performance will be verified against the prescient MPC [10].…”

Section: Holistic Controller Development For the Rapsmentioning

confidence: 99%

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Design of a Regenerative Auxiliary Power System for Service Vehicles

et al. 2018

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This paper presents a RAPS, namely the regenerative auxiliary power system, for the vehicle with special accessory power systems. Taking city buses and delivery trucks as examples, service vehicles keep engines idling to power their auxiliary devices (e.g., refrigeration systems and hydraulic pumps). The potential fuel savings brought on by the electrification of these auxiliary systems are first quantitatively analyzed over a typical drive cycle for a delivery truck. The RAPS is then designed, and its components are sized in accordance with the objectives of compactness and cost-effectiveness. By introducing the proposed RAPS into a conventional delivery truck with an internal combustion engine, the powertrain can be treated as a hybrid because of adding an extra battery. As a result, to pursue a high overall efficiency, a holistic controller is presented for determining how and when to recharge the battery while minimizing the auxiliary system's power consumption. More importantly, the proposed RAPS saves about 7% fuel when compared with consumption by conventional service vehicles.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Holistic Controller Development For the Rapsmentioning

confidence: 99%

Design of a Regenerative Auxiliary Power System for Service Vehicles

et al. 2018

Self Cite

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“…Finally, as limitations of the software it should be noted that it does not take into account the regenerative auxiliary power of the tractors [40], nor does it solve problems of tractors with double traction. These facts, together with the updating of the interface, advise an update of the PTractor Plus software.…”

Section: Resultsmentioning

confidence: 99%

Solving Power Balance Problems in Single-Traction Tractors Using PTractor Plus 1.1, a Possible Learning Aid for Students of Agricultural Engineering

et al. 2018

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Tractors are used to perform jobs that require different types of agricultural tools to be attached to their rear, to their front, or both. These tools may need to be dragged, towed, or suspended above ground, and sometimes require a power supply; this is usually obtained via a hydraulic system or from the tractor's power takeoff system. When tractors have to work with such tools on different types of soils and on different slopes, the need arises to calculate the power the tractor engine will have to produce. In the classroom, this is normally calculated manually with the help of a calculator. This work, however, describes a computer program (written in Delphi and operating under Windows) that rapidly solves the most common types of power balance problems associated with single-traction tractors. The value of this software as a learning aid for students of agricultural engineering is discussed.

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“…In-Wheel Motor Model. The dynamic response of the inwheel motor model can be simplified as a 2-order system [32][33][34]. The transfer function can be expressed as…”

Section: Complexitymentioning

confidence: 99%

GA‐BPNN Based Hybrid Steering Control Approach for Unmanned Driving Electric Vehicle with In‐Wheel Motors

Wang

2018

Complexity

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The steering system is a key component of the unmanned driving electric vehicle with in-wheel motors (IWM-EV), which is closely related to the operating safety of the vehicle. To characterize the complex nonlinear structure of the steering system of unmanned driving IWM-EV, a hierarchical modeling and hybrid steering control approach are presented. Firstly the 2-DOF model is introduced for the entire vehicle system, and then the models of the steering system and the in-wheel drive system are analyzed sequentially. The steering torque control system based on electronic differential (ED) and differential assist steering (DAS) is studied. The back propagation neural network (BPNN) is used to optimize the network structure, parameters, and the weight coefficient of the hybrid steering system. The genetic algorithm (GA) is employed to optimize the initial weight of BPNN and search within a large range. The GA-BPNN model is established with the yaw moment and differential torque as the input of BPNN. Simulation and experimental results show that the proposed GA-BPNN-based hybrid steering control approach not only accelerates the convergence speed of steering torque weight adjustment but also improves the response speed and flexibility of the steering system. Through optimizing and distributing the steering torque dynamically, the proposed GA-BPNN-based control approach has inherited the advantages of both vehicle stability under ED and the steering assistance under DAS, which further guarantees the safety and stability of unmanned driving IWM-EV.

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A Supervisory Energy-Saving Controller for a Novel Anti-Idling System of Service Vehicles

Cited by 48 publications

References 41 publications

Design of a Regenerative Auxiliary Power System for Service Vehicles

Design of a Regenerative Auxiliary Power System for Service Vehicles

Solving Power Balance Problems in Single-Traction Tractors Using PTractor Plus 1.1, a Possible Learning Aid for Students of Agricultural Engineering

GA‐BPNN Based Hybrid Steering Control Approach for Unmanned Driving Electric Vehicle with In‐Wheel Motors

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