A Novel Predictive Energy Management Strategy for Electric Vehicles Based on Velocity Prediction

Zhai, Chunjie; Luo, Fei; Liu, Yonggui

doi:10.1109/tvt.2020.3025686

Cited by 47 publications

(22 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Improved chaotic PSO algorithm is utilized to solve the formulated problem and achieves a reduction in energy loss and extension in battery life. 164 Hence these works utilize traffic/trip information by predicting the velocity and incorporate this into the energy management for improvement in energy efficiency and battery life. Similar approaches in EMS considering a reduction in battery capacity loss and energy loss uplifts the importance of power allocation algorithms in EV's.…”

Section: Improved Ems In Evsmentioning

confidence: 99%

A review on hybrid source energy management strategies for electric vehicle

Kashyap

Castelino

2021

Int J Energy Res

View full text Add to dashboard Cite

Electric and hybrid electric vehicle technology demonstrates a performance to replace the internal combustion engines (ICE) in the current scenario. It attracts attention with improved fuel or energy efficiency with lower emissions. The overall system performance depends on powertrains, types of energy sources, electro-electronic interfaces, and energy management strategies (EMS). Significant issues of battery-powered electric vehicles (EV) are effects on the range, battery life, EV performance, battery maintenance, and replacement cost. Hybrid power source system (HPSS) solves EV challenges to a large extent. A hybrid combination of battery and supercapacitor (SC) to power the EV enhances the overall performance and life of the vehicle. Learning and integrated-based EMSs are gaining attention, with their ability in accurate and fast response in power handling among various sources. This paper analyses various DC-DC converter topologies of HPSS and compares multiple EMS with recent developments. In the context of challenges involved in EVs and research gaps that are discussed in the paper, EMSs need to be enhanced. The EMSs must consider the inputs for varying driving behaviors, road traffic, load, and environmental conditions to assure the flexibility of EV among different users across the globe. This is achieved by the management of SC power available to support the vehicle during sudden power requirements and enabling it to recuperate braking energy to improve the energy efficiency throughout the trip. Lastly, recommending precise research directions to achieve the development and improvement of the EMS and power electronic interfaces. K E Y W O R D Sbattery, electric vehicle (EV), energy management strategies (EMSs), hybrid power source systems (HPSS), supercapacitor (SC)

show abstract

Section: Improved Ems In Evsmentioning

confidence: 99%

A review on hybrid source energy management strategies for electric vehicle

Kashyap

Castelino

2021

Int J Energy Res

View full text Add to dashboard Cite

show abstract

“…Furthermore, both frameworks performance will be evaluated based on the mean spacing error of all vehicles in the platoon as defined in (34). We used the performance index integral square error (ISE) as defined in (35). Figure 20 shows the mean spacing error with latency and packet loss probability as big as 0.05 seconds and 30%, respectively.…”

Section: B Robustness and Performancementioning

confidence: 99%

“…The protocol made controller gains of each vehicle changed properly before/during/after merging. The research on platooning vehicles application to improve fuel efficiency is presented by [35], [36]. Moreover, Zhai et al developed switched control strategy for heterogenous platoon using distributed model predictive control with multiple objectives (DMPCMO) and safety controller [37].…”

Section: Introductionmentioning

confidence: 99%

Centralized and Distributed Control Framework Under Homogeneous and Heterogeneous Platoon

Hidayatullah

Juang

2021

IEEE Access

View full text Add to dashboard Cite

Platooning vehicles are beneficial in comfortable driving, safety, and enhanced transportation efficiency. Platooning vehicles with cooperative adaptive cruise control (CACC) mode can potentially result in a small distance between vehicles with assured string stability. This CACC-based platoon control can be realized by vehicle-to-vehicle (V2V) or vehicle-to-everything (V2X) communication between vehicles. In this regard, the distributed control framework is widely used. It claims robustness to communication uncertainties since each vehicle has its controller. With the rapid research on V2X, the centralized framework is another option for the platooning vehicle control framework. This paper investigates and analyzes the centralized and distributed control framework under platoon uncertainty. In most of the papers, the platoon uncertainty is considered as road slope and vehicle dynamics model. In this paper, the platoon uncertainty refers to the platoon types, namely homogeneous and heterogeneous platoon. The analytical platoon stability is studied for both frameworks under different platoon types. It gives the minimum time gap boundary to guarantee string stability for both frameworks. The numerical string stability is performed by the simulation to verify the analytical. The simulation is done using the integrated PreScan and Matlab/Simulink. Then, the robustness of both frameworks is evaluated under latency and packet loss. Finally, the performance of both frameworks is also evaluated.

show abstract

“…To ensure the spacing constraint defined in equation ( 11), same as [4] and [28], the band-stop function with compensating factors will be used in the proposed Eco-ACC strategy, which can be described as…”

Section: A Band-stop Functionmentioning

confidence: 99%

Economic Adaptive Cruise Control for Electric Vehicles Based on ADHDP in a Car-Following Scenario

et al. 2021

Self Cite

View full text Add to dashboard Cite

In order to ensure vehicle safety, enhance riding comfort, extend the battery life of electric vehicles (EVs), and improve the energy economy, an ADHDP-based economic adaptive cruise control (Eco-ACC) strategy for EVs in car-following scenarios is proposed in this paper. First, the longitudinal dynamics of EVs is modeled, and the control objectives are presented; then, the actor-critic structure of ADHDP is introduced, and the policy iteration formulas of the critic and actor networks in the ADHDP framework are given; finally, after the state variables, control variables, unity function and value function are determined, the ADHDP-based Eco-ACC strategy for EVs is designed. Extensive simulation results under different driving cycles show that the proposed Eco-ACC strategy can not only ensure vehicle safety, improve riding comfort and reduce energy consumption, but also significantly reduce the battery capacity loss and extend the battery life compared with the benchmark algorithm. In addition, the proposed Eco-ACC strategy is model-free and real-time, and can be robust in different car-following scenarios.

show abstract

A Novel Predictive Energy Management Strategy for Electric Vehicles Based on Velocity Prediction

Cited by 47 publications

References 39 publications

A review on hybrid source energy management strategies for electric vehicle

A review on hybrid source energy management strategies for electric vehicle

Centralized and Distributed Control Framework Under Homogeneous and Heterogeneous Platoon

Economic Adaptive Cruise Control for Electric Vehicles Based on ADHDP in a Car-Following Scenario

Contact Info

Product

Resources

About