Design of an Energy-Saving Driving Strategy for Electric Buses

Zhang, Yali; Yuan, Wei; Fu, Rui; Wang, Chang

doi:10.1109/access.2019.2950390

Cited by 25 publications

(19 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to build a comprehensive, reasonable, and feasible evaluation index system, it is necessary to consider the operational characteristics of buses. Based on relevant research results, in view of the operational characteristics of buses and the technical characteristics of pure electric buses, the initial application performance index system of pure electric buses is shown in Figure 1 [1,3,9].…”

Section: Construction Of the Initial Index Systemmentioning

confidence: 99%

“…At present, there are many performance evaluation models for electric buses, mainly focusing on battery performance evaluation and environmental impact evaluation. In terms of battery performance evaluation, since the mileage of pure electric buses is less than that of traditional buses, Zhang et al [1] believe that mileage is the focus of performance evaluation, and the battery energy-saving performance is used as an indicator to build an evaluation model. Jwa et al [2] compared various electric buses with diesel buses and compared their environmental impacts during the life cycle and found that lithium battery electric buses are better in terms of energy consumption and emissions, but there are still problems in terms of travel.…”

Section: Introductionmentioning

confidence: 99%

“…notations used in(1) are defined as follows. 𝑤 : Comprehensive weight of the i-th evaluation index; 𝑤 : Subjective weight of the i-th evaluation index; 𝑤 : Objective weight of the i-th evaluation index; 𝑎: Weighting factor for subjective weights; and 𝑏: Weighting factor for objective weights.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Research on Application Performance Index System of Pure Electric Buses Based on Extensible Cloud Model

Zheng

Zhao

et al. 2022

WEVJ

View full text Add to dashboard Cite

In order to help select high-quality electric buses, we established a performance index system for pure electric buses based on an extensible cloud model. With the rapid development of electric buses, choosing a suitable pure electric bus considering its applicability is challenging. Based on the analysis of the characteristics of the passenger car industry, a preliminary evaluation index system for pure electric passenger cars was constructed. The preliminary indicator system was formed based on the optimization of the main points of current laws and regulations, and divided into four aspects: safety assistance system, comfort, convenience, and economy. Then, the index system was determined from multiple perspectives, and the analytic hierarchy process and the entropy weight method were applied to determine the comprehensive weight. Meanwhile, the evaluation level of the index system of pure electric buses was calculated by the extensible cloud model. At last, six electric buses were selected from Chinese electric bus companies as examples to determine the relevant level. The results show that the method has satisfactory feasibility and applicability in the comprehensive evaluation and that it provides a reference for pure electric bus selection based on application performance.

show abstract

Section: Construction Of the Initial Index Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research on Application Performance Index System of Pure Electric Buses Based on Extensible Cloud Model

Zheng

Zhao

et al. 2022

WEVJ

View full text Add to dashboard Cite

show abstract

“…Recently, some researchers explored the energy-saving strategies with the emerging of new communication technologies buses. Zhang et al built a simulation-based model for energy optimization of electric buses without stopping between two adjacent stops [14]. Hu et al proposed an integrated control strategy with speed guidance and signal priority control on bus lanes [15].…”

Section: Introductionmentioning

confidence: 99%

Connected eco‐driving for electric buses along signalized arterials with bus stops

Shan

Wan

Hao

et al. 2022

IET Intelligent Trans Sys

View full text Add to dashboard Cite

With the rapid development of the cooperative vehicle infrastructure system, eco‐approach and departure has been attracting increasing attention for mitigating the impact of signalized intersections, which helps improve the energy efficiency of equipped vehicles. However, existing studies have rarely considered the balance of electric bus energy consumption and traveling time. Meanwhile, the joint effect of bus stops and signalized intersections, and their interactions were not discussed widely with connected and automated electric buses (CAEBs). In this study, an integrated CAEB trajectory planning methodology with the balance of traveling time and energy consumption is proposed. A bi‐level programming model is developed to obtain the optimal trajectories of CAEBs. Numerical experiments are conducted to analyse and compare the model with two baseline models. The results demonstrate the optimal performance of the derived scheme in terms of bus energy consumption, with approximately 30–50% energy savings. Furthermore, model sensitivity analysis is conducted to quantify the impacts of the related system parameters. The findings also reveal that the entry time, conversion coefficient, and final speed have significant impacts on electric bus energy consumption along signalized arterials with bus stops.

show abstract

“…The system main screen consists of several sections to help the driver's driving strategy. Zhang et al suggested that driving strategy refers to the combination of acceleration mode and velocity values chosen by the driver to traverse a given distance [40]. Thus, the main screen composed of four sections: navigation route, traffic information on the route, lane information, and other important information, such as personal schedule.…”

mentioning

confidence: 99%

Cognitive States Matter: Design Guidelines for Driving Situation Awareness in Smart Vehicles

Park

Yoon

Lee

2020

Sensors

View full text Add to dashboard Cite

Situation awareness (SA) is crucial for safe driving. It is all about perception, comprehension of current situations and projection of the future status. It is demanding for drivers to constantly maintain SA by checking for potential hazards while performing the primary driving tasks. As vehicles in the future will be equipped with more sensors, it is likely that an SA aiding system will present complex situational information to drivers. Although drivers have difficulty to process a variety of complex situational information due to limited cognitive capabilities and perceive the information differently depending upon their cognitive states, the well-known SA design principles by Endsley only provide general guidelines. The principles lack detailed guidelines for dealing with limited human cognitive capabilities. Cognitive capability is a mental capability including planning, complex idea comprehension, and learning from experience. A cognitive state can be regarded as a condition of being (e.g., the state of being aware of the situation). In this paper, we investigate the key cognitive attributes related to SA in driving contexts (i.e., attention focus, mental model, workload, and memory). Endsley proposed that those key cognitive attributes are the main factors that influence SA. In those with higher levels of attributes, we found eight cognitive states which mainly influence a human driver in achieving SA. These are the focused attention state, inattentional blindness state, unfamiliar situation state, familiar situation state, insufficient mental resource state, sufficient mental resource state, high time pressure state, and low time pressure state. We then propose cognitive state aware SA design guidelines that can help designers to effectively convey situation information to drivers. As a case study, we demonstrated the usefulness of our cognitive state aware SA design guidelines by conducting controlled experiments where an existing SA interface is compared with a new SA interface designed following the key guidelines. We used the Situation Awareness Global Assessment Technique (SAGAT) and Decision-Making Questionnaire (DMQ) to measure the SA and decision-making style scores, respectively. Our results show that the new guidelines allowed participants to achieve significantly higher SA and exhibit better decision making performance.

show abstract

Design of an Energy-Saving Driving Strategy for Electric Buses

Cited by 25 publications

References 41 publications

Research on Application Performance Index System of Pure Electric Buses Based on Extensible Cloud Model

Research on Application Performance Index System of Pure Electric Buses Based on Extensible Cloud Model

Connected eco‐driving for electric buses along signalized arterials with bus stops

Cognitive States Matter: Design Guidelines for Driving Situation Awareness in Smart Vehicles

Contact Info

Product

Resources

About