Smart Energy Management of Auxiliary Load for Electric Vehicles

Berzi, Lorenzo; Delichristov, David; Favilli, Tommaso; Pierini, Marco; Ponchant, Matthieu; Qehajaj, Albi; Pugi, Luca

doi:10.1109/eeeic/icpseurope49358.2020.9160762

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…Our proposed method can be utilized to improve the driving behavior of EVs and HEVs. In some studies, the consumption of auxiliaries of electric vehicles has been optimized concerning mission profiles [28], and such an approach can be adapted to our work as possible future development.…”

Section: Validation and Impact Assessmentmentioning

confidence: 99%

Eco-Driving on Hilly Roads in a Mixed Traffic Environment: A Model Predictive Control Approach

Bakibillah,

Kamal,

Imura

et al. 2024

Actuators

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Human driving behavior significantly affects vehicle fuel economy and emissions on hilly roads. This paper presents an ecological (eco) driving scheme (EDS) on hilly roads using nonlinear model predictive control (NMPC) in a mixed traffic environment. A nonlinear optimization problem with a relevant prediction horizon and a cost function is formulated using variables impacting the fuel economy of vehicles. The EDS minimizes vehicle fuel usage and emissions by generating the optimum velocity trajectory considering the longitudinal motion dynamics, the preceding vehicle’s state, and slope information from the digital road map. Furthermore, the immediate vehicle velocity and angle of the road slope are used to tune the cost function’s weight utilizing fuzzy inference methods for smooth maneuvering on slopes. Microscopic traffic simulations are used to show the effectiveness of the proposed EDS for different penetration rates on a real hilly road in Fukuoka City, Japan, in a mixed traffic environment with the conventional (human-based) driving scheme (CDS). The results show that the fuel consumption and emissions of vehicles are significantly reduced by the proposed NMPC-based EDS compared to the CDS for varying penetration rates. Additionally, the proposed EDS significantly increases the average speed of vehicles on the hilly road. The proposed scheme can be deployed as an advanced driver assistance system (ADAS).

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Section: Validation and Impact Assessmentmentioning

confidence: 99%

Eco-Driving on Hilly Roads in a Mixed Traffic Environment: A Model Predictive Control Approach

Bakibillah,

Kamal,

Imura

et al. 2024

Actuators

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“…63 The energy consumption due to air conditioning unit directly affects the driving range of the vehicle hence much attention is required while designing energy management system of electric vehicle. 92 The energy consumption by auxiliary loads has greater impact on deciding the location for the charging infrastructure. Since the energy consumption vary according to the ambient temperature, so the optimization strategy is designed by which, 9.66% per kilometer energy consumption is reduced.…”

Section: Control Techniquesmentioning

confidence: 99%

A review on braking control and optimization techniques for electric vehicle

Jamadar

Jadhav²

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this modern world, due to limited fossil fuels, increasing cost, and environmental concerns a clean and sustainable transportation system in the form of electric vehicles (EV) is now becoming popular. On the other hand, electric vehicles have an advantage such as zero-emission, less maintenance, comfortable ride, less noise, etc. An electric vehicle is driven by an electric motor so considering driving patterns and road traffic conditions the vehicle often requires braking operation. The most common method is to employ mechanical brakes to reduce the speed of EV. However, mechanical braking mechanism results in friction which in turn, into heating losses and reduces the efficiency of EV. Therefore, regenerative braking system (RBS) and energy management system are employed in addition to mechanical braking for increasing the braking efficiency of the EV system. It is reported in many literatures about different regenerative braking control techniques for EV systems. This paper presents a review of regenerative braking and braking energy management techniques by considering different driving situations and road conditions.

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