Evaluation of Energy Recovery Potential through Regenerative Braking for a Hybrid Electric Vehicle in a Real Urban Drive Scenario

Oliveira, André de; Bertoti, Elvis; Eckert, Jony Javorski; Yamashita, Rodrigo Yassuda; Costa, Eduardo dos Santos; Silva, Ludmila C. A.; Dedini, Franco Giuseppe

doi:10.4271/2016-36-0348

Cited by 10 publications

(5 citation statements)

References 17 publications

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“…Hu et al 16 analyzed the mode-shift process from single motor to torque coupling and the jerk value and kinetics relationship of the torque coupling process and signal motor process based on the analysis of the structure. The simulation result shows that the mode-shift process from single motor to torque coupling limited jerk value less than 2.5 m/s 3 , without a dynamic power interruption. Based on the curve of ideal braking force distribution, Chen et al 17 used the fuzzy control algorithm to distribute the mechanical braking force and braking force of the motor, and then to exert the regenerative braking characteristics of the motor as much as possible, but did not consider the limitation of the charging and discharging power of battery.…”

Section: Introductionmentioning

confidence: 94%

“… 1 However, the problem of the cruising range of electric vehicle has not been effectively solved, and it has become an obstacle to market promotion. 2 – 4 The electric vehicle drives the wheels by the motor, and at the same time, it can be turned into a generator to take part in braking when the vehicle is braking. It relies on the transmission system to provide the resistance which is needed for the deceleration of the vehicle and converts the kinetic energy of the vehicle into electric energy to be stored in the energy storage components.…”

Section: Introductionmentioning

confidence: 99%

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Research on braking energy recovery strategy of electric vehicle based on ECE regulation and I curve

Feng

2019

Science Progress

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Electric vehicles can convert the kinetic energy of the vehicle into electric energy for recycling. A reasonable braking force distribution strategy is the key to ensure braking stability and the energy recovery rate. For an electric vehicle, based on the ECE regulation curve and ideal braking force distribution (I curve), the braking force distribution strategy of the front and rear axles is designed to study the braking energy recovery control strategy. The fuzzy control method is adopted while the charging power limit of the battery is considered to correct the regenerative braking torque of the motor, the ratio of the regenerative braking force of the motor to the front axle braking force is designed according to different braking strengths, then the braking force distribution and braking energy recovery control strategies for regenerative braking and friction braking are developed. The simulation model of combined vehicle and energy recovery control strategy is established by Simulink and Cruise software. The braking energy recovery control strategy of this article is verified under different braking conditions and New European Driving Cycle conditions. The results show that the control strategy proposed in this article meets the requirements of braking stability. Under the condition of initial state of charge of 75%, the variation of state of charge of braking control strategy in this article is reduced by 8.22%, and the state of charge of braking strategy based on I curve reduces by 9.12%. The braking force distribution curves of the front and rear axle are in line with the braking characteristics, can effectively recover the braking energy, and improve the battery state of charge. Taking the using range of 95%–5% of battery state of charge as calculation target, the cruising range of vehicle with braking control strategy of this article increases to 136.64 km, which showed that the braking control strategy in this article could increase the cruising range of the electric vehicle.

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Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Research on braking energy recovery strategy of electric vehicle based on ECE regulation and I curve

Feng

2019

Science Progress

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“…Since regenerative braking only works with technically limited efficiency, the amount of kinetic energy that will be converted back to electricity and stored in the battery is mainly dependent on the driving style [36], [37], [38], the physical limitations of motor generation, and the deceleration limitations of regenerative braking. Some works in the literature regarding the maximization of regeneration respect the motor's physical limit [39].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Regenerative Braking Strategy Design Based on Naturalistic Regeneration Performance for Intelligent Vehicles

Ziadia,

Kelouwani,

Amamou

et al. 2023

IEEE Access

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The effectiveness of regenerative braking strategies plays an important role in extending the driving range of electric vehicles. Since the driver is still an essential factor in levels 3 and 4 of intelligent electric vehicles, improving user acceptance and adoption of the braking control strategy is crucial. This paper puts forward a new regenerative braking strategy to find a compromise between optimal braking control performance and naturalistic regeneration performance while satisfying the maximum speed preference when driving between two-stop events. Unlike other similar works that only maximize regenerative braking energy while satisfying the physical limits of an electrified powertrain, this paper considers naturalistic regeneration performance. To achieve this, firstly, the power regenerated by three drivers is predicted with a long-horizon (30 seconds), using long-short-term memory networks (LSTM) and non-linear autoregressive exogenous model (NARX). Subsequently, an estimation of the energy recovery maximization rate is performed to give a perception of the naturalistic regeneration performance. As this performance varies, the deceleration planning employs three horizon scales of long, medium, and short, determined by the energy recovery maximization rate. Finally, dynamic programming (DP) is utilized to optimize a deceleration profile. The study utilizes real data of inverter efficiency, transmission efficiency, and motor-to-battery efficiency map. The outcome of this study shows that the proposed regeneration braking strategy is adaptive, improving regeneration efficiency by 39,6% for driver 1, 16% for driver 2, and 26% for driver 3, and forecasting the optimality of some deceleration behaviors.

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“…With reference to ICEs, actuation of the pump is usually done in mechanical way coupled with the engine crankshaft, but a smart thermal management (engine & vehicle) needs independent actuation, and electric pumps are the solution to implement effective regulation strategies [33], with additional benefits in hybrid and electric vehicles, where the electric actuation is more conventional and can share electric energy coming from on-board energy recovery [34,35].…”

Section: Introductionmentioning

confidence: 99%

Comparison on the energy absorbed of volumetric and centrifugal pumps for automotive engine cooling

Giovine

Mariani

Bartolomeo

et al. 2022

J. Phys.: Conf. Ser.

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Engine thermal management can reduce significantly CO2 emissions in road vehicles without altering sensibly the engine layout. However, more efficient auxiliaries also participate to fuel consumption saving and, therefore, to CO2 emissions reduction. Typically, centrifugal cooling pumps are adopted as circulating devices, but their efficiency varies highly with rotational speed, wasting energy during real operation despite being optimized at the design point. Instead, volumetric pumps keep a high efficiency also far from it, enhancing the overall engine efficiency. In this paper, the performances of a screw-type volumetric pump have been compared with those of a centrifugal pump considering the same cooling circuit of a mid-size engine for passenger vehicles. Both pumps have been designed to satisfy the cooling flow rate required by the engine during a homologation cycle, while verifying their capability to cool the engine operating at maximum power. Once prototyped, the pumps performance maps have been measured, showing a high Best Efficiency Point for both cases. However, the screw pump has better performance in off-design conditions, being the centrifugal pump efficiency strictly dependent on its rotational speed which significantly changes during a real driving. The comparison of the two pumps has been done by reproducing the WLTC on a dynamic test bench. The rotational speed of the volumetric pump has been adjusted to deliver the same flow rate produced by the centrifugal pump as requested by the engine. Results show that the prototyped screw-type volumetric pump absorbs 21% less energy than the prototyped centrifugal pump, reducing CO2 emissions by 0.28 g/km.

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Evaluation of Energy Recovery Potential through Regenerative Braking for a Hybrid Electric Vehicle in a Real Urban Drive Scenario

Cited by 10 publications

References 17 publications

Research on braking energy recovery strategy of electric vehicle based on ECE regulation and I curve

Research on braking energy recovery strategy of electric vehicle based on ECE regulation and I curve

An Adaptive Regenerative Braking Strategy Design Based on Naturalistic Regeneration Performance for Intelligent Vehicles

Comparison on the energy absorbed of volumetric and centrifugal pumps for automotive engine cooling

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