Mechanism analysis and evaluation methodology of regenerative braking contribution to energy efficiency improvement of electrified vehicles

Lv, Chen; Zhang, Junzhi; Li, Yutong; Yuan, Ye

doi:10.1016/j.enconman.2014.12.092

Cited by 200 publications

(97 citation statements)

References 26 publications

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“…These results are in accordance with results found in literature regarding energy recovery efficiency of public means of electrical transportation (trains and metros) [24][25][26], which reinforces the reliability of the proposed modeling. Figure 17 depicts the energy recovery potential as a function of vehicle speed, in the case of maximum (FULL) and minimum (EMPTY) passenger load, during constant speed course on road with −1% and −5% road inclination, with DVC and DTC implementation.…”

Section: Energy Recovery Estimations-decelerationsupporting

confidence: 82%

Energy Saving Estimation of Athens Trolleybuses Considering Regenerative Braking and Improved Control Scheme

Apostolidou

Papanikolaou

2018

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Abstract:In this work, the electromechanical system of the 8000-series of Athens trolleybuses, based on data provided by OSY S.A., is analyzed. Those data were used to develop a valid model in order to estimate the total energy consumption of the vehicle under any possible operating conditions. In addition, an effort is made to estimate the energy saving potential if the wasted energy-in the form of heat-during braking or downhill courses is recovered (regenerative braking) and retrofitted during normal operation. This process requires the installation of appropriate electrical apparatus to recover and temporarily store this energy amount. Moreover, due to the fact that the main engine of the system is an asynchronous electric machine, its driving scheme is also of interest. This study assumes the current driving scheme, that is the direct vector control (DVC), and proposes an alternative control method, the direct torque control (DTC). Energy consumption/saving calculations highlight the effectiveness of incorporating regenerative braking infrastructure in trolleybuses transportation systems. Finally, a sustainable hybrid energy storage unit that supports regenerative braking is proposed.

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Section: Energy Recovery Estimations-decelerationsupporting

confidence: 82%

Energy Saving Estimation of Athens Trolleybuses Considering Regenerative Braking and Improved Control Scheme

Apostolidou

Papanikolaou

2018

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“…Regenerative braking for EVs is an important part of the EV drivetrain efficiency [16] and regenerative braking strategies are a topic of research [16][17][18]. Figure 12 depicts the distribution of the relative amount of regenerated energy, defined as the ratio of the total amount of energy returned to the battery to the total amount of energy extracted from the battery.…”

Section: The Regenerative Braking Influencing Factorsmentioning

confidence: 99%

Energy Consumption Prediction for Electric Vehicles Based on Real-World Data

2015

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Electric vehicle (EV) energy consumption is variable and dependent on a number of external factors such as road topology, traffic, driving style, ambient temperature, etc. The goal of this paper is to detect and quantify correlations between the kinematic parameters of the vehicle and its energy consumption. Real-world data of EV energy consumption are used to construct the energy consumption calculation models. Based on the vehicle dynamics equation as underlying physical model, multiple linear regression is used to construct three models. Each model uses a different level of aggregation of the input parameters, allowing predictions using different types of available input parameters. One model uses aggregated values of the kinematic parameters of trips. This model allows prediction with basic, easily available input parameters such as travel distance, travel time, and temperature. The second model extends this by including detailed acceleration data. The third model uses the raw data of the kinematic parameters as input parameters to predict the energy consumption. Using detailed values of kinematic parameters for the prediction in theory increases the link between the statistical model and its underlying physical principles, but requires these parameters to be available as input in order to make predictions. The first two models show similar results. The third model shows a worse fit than the first two, but has a similar accuracy. This model has great potential for future improvement. OPEN ACCESSEnergies 2015, 8 8574

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“…Existen productos que acompañan los sistemas de frenos de disco como la generación de energía por medio del frenado, que en un futuro se puede acompañar en el sistema diagnóstico para visualizar en tiempo real la carga de baterías que pudieran utilizarse en un vehículo eléctrico [48]- [50].…”

Section: Conclusionesunclassified

Consideraciones para el diseño de un sistema diagnóstico de frenos de disco en un vehículo particular

García

Sánchez

2017

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El presente artículo describe los aspectos en el proceso de frenado de un vehículo particular, para determinar la viabilidad de un sistema diagnóstico que establezca su estado actual en tiempo real, disminuyendo los índices de accidentalidad establecidos por la ANSV (Agencia Nacional Seguridad Vial). Por otra parte, se relacionan investigaciones respecto al tema de sistemas de frenos de disco y cómo aportan al diseño del sistema diagnóstico, mediante simulaciones con software ANSYS (Swanson Analysis Systems, Inc.) y sistemas de frenos de disco utilizados comúnmente como los ABS (Sistema antibloqueo de ruedas), teniendo en cuenta los antecedentes de estos sistemas. En consecuencia, como resultado del análisis realizado a las diferentes variables del sistema de freno de disco, se determinó que la temperatura es una de las fuentes que más afecta el desempeño del sistema de frenado, ocasionando desgastes en pastillas de freno, mecanismos del mismo y deformaciones en el disco.

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Mechanism analysis and evaluation methodology of regenerative braking contribution to energy efficiency improvement of electrified vehicles

Cited by 200 publications

References 26 publications

Energy Saving Estimation of Athens Trolleybuses Considering Regenerative Braking and Improved Control Scheme

Energy Saving Estimation of Athens Trolleybuses Considering Regenerative Braking and Improved Control Scheme

Energy Consumption Prediction for Electric Vehicles Based on Real-World Data

Consideraciones para el diseño de un sistema diagnóstico de frenos de disco en un vehículo particular

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