A Novel Approach to Energy Management Strategy for Hybrid Electric Vehicles

Jelaska, Damir; Perkušić, Milan; Podrug, Srđan; Tvrdić, Vjekoslav

doi:10.4271/02-14-02-0010

Cited by 2 publications

(5 citation statements)

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“…In addition, the speed of ICE affects the selection of generator specifications, because they are connected by the planetary gear set, and this may lead to the generator being operated at higher speeds than the designed speed when the appropriate speed specifications are not chosen for the generator. The control unit gives commands to ON/OFF the ICE and also sets the torque value of the ICE to operate which ensures that the ICE operates within the OOL range [11], [12]. This torque value is chosen based on the ICE speed which in turn is an entry into the 1-D lookup…”

Section: Powertrain Of the Series-parallel Hev 221 Internal Combustio...mentioning

confidence: 99%

“…PI control stops the system from fluctuating, and it is also able to return the system to its set point. The PI-controller in mathematical form is illustrated in (11) [10], [18]: where, 𝐶(𝑡), 𝐾 𝐼 , 𝐾 𝑃 and 𝑒(𝑡) are the output of the controller, proportional gain constant, integral gain constant, and error signal respectively [19]. The error signal is given by:…”

Section: Low Control Level Based On Pi Controllersmentioning

confidence: 99%

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Energy management for hybrid electric vehicles using rule based strategy and PI control tuned by particle swarming optimization algorithm

Al-Flehawee

Al-Mayyahi

2022

IJECE

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<span lang="EN-US">Recently, hybrid electric vehicles are increasingly being used to replace conventional vehicles. In this paper, a control methodology is designed that can reduce fuel consumption and improve the vehicle’s dynamic response. As the control unit based on this methodology consists of two levels, the first depends on the application of a rule-based strategy for energy management between the main components of the vehicle, and this strategy is based on a set of rules that are activated according to parameters such as vehicle speed and the battery <a name="_Hlk108852620"></a>state of charge (SOC) that control the activation/deactivation of the internal combustion engine (ICE), motor, and generator. This level also makes ICE operate at operation points with high efficiency, which is represented by the optimal operating line (OOL). The second level is called the low control level, and it consists of two proportional-integral (PI) controllers used to control the speed of each ICE and the motor to obtain the appropriate torque for both of them to drive the vehicle properly. The particle swarming optimization (PSO) algorithm is utilized to tune the parameters of the PI controllers. The obtained results have effectively minimized fuel consumption and improved the performance of the vehicle.</span>

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Section: Powertrain Of the Series-parallel Hev 221 Internal Combustio...mentioning

confidence: 99%

Section: Low Control Level Based On Pi Controllersmentioning

confidence: 99%

Energy management for hybrid electric vehicles using rule based strategy and PI control tuned by particle swarming optimization algorithm

Al-Flehawee

Al-Mayyahi

2022

IJECE

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“…Most of the vehicle parameters were identical throughout the simulations. The models consist in the following GT-Suite template blocks: ICE, transmission, electric machine, 48V and 12V batteries, DC/DC converter, Vehicle body, Vehicle control unit, and the driver, according to Figure (2). It is important to emphasize that the objective is to compare as fair as possible the fuel consumption benefits of vehicle electrification to the conventional vehicle model.…”

Section: Vehicle Modelsmentioning

confidence: 99%

“…Where, one can demonstrate the following [9]. Note that λ(t) might be interpreted as an equivalent factor when substituted for s(t) in equation (2). In other words, s(t) can be understood as a weighting factor that converts battery power into fuel power.…”

Section: Hev Control Strategymentioning

confidence: 99%

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Análise dos Benefícios em Consumo de Combustível ao Transformar um Veículo em Híbrido 48V-Flex através de Simulação de Ciclos de Normas Brasileiras

BARBOSA¹,

MORAIS²,

SANTOS³

et al. 2022

Blucher Engineering Proceedings

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Research on 48-volt hybrid vehicles have been conducted throughout the last years, however the benefits of such vehicles in the Brazilian market, that is, assess energetic efficiency based on the Brazilian homologation drive cycles (FTP75 and HWFET) and the implications of ethanol in a hybrid powertrain have not been studied deeply. Given the context above, the present paper investigates the improvement in terms of fuel consumption (energetic efficiency) of a 48-volt hybridization of a vehicle with a turbo direct injected engine under several hybrid topologies: P0, P2, P3 and P4. In addition, this work is focused on the impact of the usage of ethanol in these vehicles running the Brazilian homologation drive cycles. 1-Dimensional numerical simulation using GT-Suite was chosen as the methodology for this study. Fuel consumption results through the energy consumption minimization strategy (ECMS) were obtained for the respective topologies and for 2 types of fuels, E22 and E100. A brief analysis of the energetic efficiency benefits was done to compare homologation drive cycle results from Europe and Brazil.

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A Novel Approach to Energy Management Strategy for Hybrid Electric Vehicles

Cited by 2 publications

References 0 publications

Energy management for hybrid electric vehicles using rule based strategy and PI control tuned by particle swarming optimization algorithm

Energy management for hybrid electric vehicles using rule based strategy and PI control tuned by particle swarming optimization algorithm

Análise dos Benefícios em Consumo de Combustível ao Transformar um Veículo em Híbrido 48V-Flex através de Simulação de Ciclos de Normas Brasileiras

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