Review on Braking Energy Management in Electric Vehicles

Vodovozov, Valery; Raud, Zoja; Petlenkov, Eduard

doi:10.3390/en14154477

Cited by 34 publications

(16 citation statements)

References 141 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can maintain the slip ratio at some value to avoid locking the tires, thereby maximizing friction potential [22]. Friction in the braking process can be used to charge the battery instead of being discharged as heat [23]. Vehicle energy is lost about 20 to 70% during braking [24].…”

Section: Antilock Braking System (Abs)mentioning

confidence: 99%

Optimizing regenerative braking on electric vehicles using a model-based algorithm in the antilock braking system

Budijono

Sutantra

Pramono

2023

IJPEDS

View full text Add to dashboard Cite

<span lang="EN-US">The regenerative braking effectiveness of electric vehicles (EVs), with <br /> 8-25% range, requires designers to produce better braking systems. The antilock braking system (ABS) was chosen because it offers various advantages, such as enhanced safety considerations, vehicle maneuverability, and so on. The measurement findings revealed that ABS took longer to stop the wheels with the same wheel rotation speed. Because of the lesser differentiation of magnetic flux to time, it created lower induced emf in the generator. ABS 50 Hz performance was 19.5% at 4500 pm, whereas hydraulic brake performance was 21% at the same speed. ABS used model-based algorithms (MBAs) to boost the friction frequency with the wheels from 10 to 50 Hz. As the frequency increased, the ABS graph approached the hydraulic graph, and the ABS performance improved. Although ABS loses to hydraulics in stopping wheel rotation, it gains in saved energy and battery temperature. Longer wheel stop-times allow the rotational kinetic energy of the wheel more time to be converted into electricity.</span>

show abstract

Section: Antilock Braking System (Abs)mentioning

confidence: 99%

Optimizing regenerative braking on electric vehicles using a model-based algorithm in the antilock braking system

Budijono

Sutantra

Pramono

2023

IJPEDS

View full text Add to dashboard Cite

show abstract

“…"Energy Management Systems", "Electric Vehicles", "Secondary Batteries", "Energy Efficiency", "Hybrid Energy Storage Systems", and "Plug-in Hybrid Vehicles" are six areas of study that are gaining high interest. Different researchers have performed various types of literature evaluations and techniques in the fields of economic advantages of EV applications, EMSs, optimization and control for cost reduction, the flexibility of system operations, and the reducing of carbon emissions [77,85,88,108,134,141,144,152,163,194,195].…”

Section: Document Authorship Analysismentioning

confidence: 99%

Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends

et al. 2021

View full text Add to dashboard Cite

Concerns over growing greenhouse gas (GHG) emissions and fuel prices have prompted researchers to look into alternative energy sources, notably in the transportation sector, accounting for more than 70% of carbon emissions. An increasing amount of research on electric vehicles (EVs) and their energy management schemes (EMSs) has been undertaken extensively in recent years to address these concerns. This article aims to offer a bibliometric analysis and investigation of optimized EMSs for EV applications. Hundreds (100) of the most relevant and highly influential manuscripts on EMSs for EV applications are explored and examined utilizing the Scopus database under predetermined parameters to identify the most impacting articles in this specific field of research. This bibliometric analysis provides a survey on EMSs related to EV applications focusing on the different battery storages, models, algorithms, frameworks, optimizations, converters, controllers, and power transmission systems. According to the findings, more articles were published in 2020, with a total of 22, as compared to other years. The authors with the highest number of manuscripts come from four nations, including China, the United States, France, and the United Kingdom, and five research institutions, with these nations and institutions accounting for the publication of 72 papers. According to the comprehensive review, the current technologies are more or less capable of performing effectively; nevertheless, dependability and intelligent systems are still lacking. Therefore, this study highlights the existing difficulties and challenges related to EMSs for EV applications and some brief ideas, discussions, and potential suggestions for future research. This bibliometric research could be helpful to EV engineers and to automobile industries in terms of the development of cost-effective, longer-lasting, hydrogen-compatible electrical interfaces and well-performing EMSs for sustainable EV operations.

show abstract

“…The controller is integrated into the simulated model, and the results showed its potential use with the improvement of the brake energy and better road adhesion. Vodovozov et al (2021) proposed the same technique to manage energy issues when using braking controllers was identified in the field of gradual and urgent braking. Zhang et al (2020) offered a pneumatic anti-lock braking control strategy for an electric bus.…”

Section: Introductionmentioning

confidence: 99%

Experimental implementation of a vehicle anti-lock brake system employing intelligent active force control with a P-type iterative learning algorithm

Al-Mola

Mailah

Abdelmaksoud

2023

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

The anti-lock brake system (ABS) is an active safety device used in ground vehicles to increase the brake force between the tire and the road during panic braking. Due to the high non-linearity of the tire and road interaction plus uncertainties derived from vehicle dynamics, a standard proportional-integral-derivative (PID) controller is not deemed enough for the system to produce optimum performance. An active force control (AFC) based scheme is proposed to enhance the robustness of the system and reject undesirable disturbances. A P-type iterative learning algorithm (ILA) is implemented in the AFC loop to estimate the vital parameter continuously for force feedback compensation. In this paper, the control scheme to be known as PID-ILAFC was validated experimentally through its implementation on a test rig. A hardware-in-the-loop (HIL) test via LabVIEW was formulated with novel intelligent control schemes to execute the algorithm in real-time, thereby practically verifying the response of the ABS in the wake of parametric changes and varied operating and loading conditions. The PID-ILAFC controller is specifically designed to provide a proper slip ratio close to the reference value, a reduced stopping distance, and stability in vehicle movement during panic braking. The results clearly exhibit more robustness and superior performance of the AFC-based ABS in achieving the reduced stopping distance and good slip ratio in comparison to the PID and passive counterparts for a dry road condition setting.

show abstract

Review on Braking Energy Management in Electric Vehicles

Cited by 34 publications

References 141 publications

Optimizing regenerative braking on electric vehicles using a model-based algorithm in the antilock braking system

Optimizing regenerative braking on electric vehicles using a model-based algorithm in the antilock braking system

Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends

Experimental implementation of a vehicle anti-lock brake system employing intelligent active force control with a P-type iterative learning algorithm

Contact Info

Product

Resources

About