Fuzzy Control to Improve High-Voltage Battery Power and Engine Speed Control in a Hybrid Electric Vehicle

Syed, Fazal; Kuang, Ming; Czubay, John; Smith, Matt; Ying, Hao

doi:10.1109/nafips.2005.1548559

Cited by 12 publications

(8 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, due to the complex nonlinearity of the system, the use of a PID-based control system may lead to undesired engine speed or degraded response time under certain driving condition. Syed et al 18 designed a fuzzy controller–based nonlinear control scheme to resolve undesired engine speed while improving control accuracy. Qi et al 19 proposed an economic MPC-based transient control strategy to further improve the accurate reference tracking performance of a compound power-split system.…”

Section: Introductionmentioning

confidence: 99%

Extended Kalman filter–based and model predictive control–based dynamic coordinated control strategy for power-split hybrid electric bus

Liu

Song

Yang

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

The power-split hybrid electric vehicle achieves excellent fuel economy because both the engine speed and the torque of this system are decoupled from the road load. However, for a power-split hybrid electric vehicle with multiple power sources, the inconsistency of the response characteristic of each power source seriously affects the stability control of the power system and riding comfort, so the coordinated control of the power system is particularly important. This article proposed a dynamic coordinated control strategy. First, extended Kalman filter is applied to realize robust online estimation of the engine dynamics. Then, an extended Kalman filter–based and model predictive control–based dynamic coordinated control strategy is designed to achieve accurate reference tracking in hybrid electric mode. Considering the real-time performance for the online application of the dynamic coordinated control strategy, a fast model predictive control solver is formed based on a reasonable assumption. Offline simulation results show that accurate reference tracking is achieved in hybrid electric mode. Hardware-in-the-loop simulation is also conducted to validate the real-time performance of the proposed dynamic coordinated control strategy. This study is expected to improve the performance and robustness of the dynamic coordinated control strategy in hybrid electric mode while reducing the calibration load.

show abstract

Section: Introductionmentioning

confidence: 99%

Extended Kalman filter–based and model predictive control–based dynamic coordinated control strategy for power-split hybrid electric bus

Liu

Song

Yang

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

show abstract

“…Experimental results have shown that controllers based on fuzzy logic provide superior performance, compared to con-25 ventional proportional -integral -derivative (PID) controllers, especially with respect to regime errors and robustness in various control strategies involving CVT systems (Syed et al, 2005(Syed et al, , 2009Naderi et al, 2011;Esmail et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Several articles (Syed et al, 2005(Syed et al, , 2006(Syed et al, , 2009Lingfeng et al, 2009) have described FC schemes for altering the gain of a PI and/or a PD controller acting directly on the CVT system of a hybrid vehicle; results were obtained for simulation of the complete system, although the aim 35 was not to achieve maximum motor eciency. (Asaei et al, 2007) described the use of an FC associated with a CVT system for controlling the operation of a combustion engine (CE), where the controller employed three fuzzy sets and attempted to adjust the CVT to the optimum torque required by the CE.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy controller applied to electric vehicles with continuously variable transmission

Fernandes

2016

Neurocomputing

View full text Add to dashboard Cite

“…Técnicas baseadas em IA são amplamente utilizadas no controle de velocidade de veículos a combustão, elétricos e híbridos como apresentado nos trabalhos [8], [9]. Em Veículos Elétricos (VE) as propostas se concentram na utilização de sistemas Fuzzy como os trabalhos apresentados em [10], [11], [12], [13], [4]. No caso de RNA's, estratégias baseadas no modelo não-linear auto-regressivo com entradas exógenas (NARX -Nonlinear Autoregressive Exogenous) são também bastante utilizadas.…”

Section: Introductionunclassified

Rede Neural Auto-Regressiva Com Entradas Exógenas (NARX) Aplicada ao Controle de Velocidade em Veículos Elétricos

Fonseca¹,

Almeida²,

Fernandes³

2015

Anais Do 12. Congresso Brasileiro De Inteligência Computacional

View full text Add to dashboard Cite

Resumo-Este artigo propõe uma estratégia de controle de velocidade para veículos equipados com motores elétricos de corrente contínua e ímã permanente (PMDC-Permanent Magnet DC). Esta estratégia tem como base um controlador nãolinear auto-regressivo com entradas exógenas (NARX-Nonlinear Autoregressive Exogenous) baseado em Redes Neurais Artificiais (RNA) do Tipo Perceptron de Multiplas Camadas (MLP-Multilayer Perceptron) treinado com algoritmo da retropropagação (BP-Backpropagation). O controlador neural atua de forma direta no PMDC, tendo como entrada o erro entre a velocidade atual e a velocidade de referência do veículo, estados passados da saída e finalmente o ângulo de inclinação longitudinal do veículo. Resultados obtidos, a partir de simulações para várias situações de percurso, são apresentados e mostram a eficiência do controlador proposto.

show abstract

Fuzzy Control to Improve High-Voltage Battery Power and Engine Speed Control in a Hybrid Electric Vehicle

Cited by 12 publications

References 5 publications

Extended Kalman filter–based and model predictive control–based dynamic coordinated control strategy for power-split hybrid electric bus

Extended Kalman filter–based and model predictive control–based dynamic coordinated control strategy for power-split hybrid electric bus

Fuzzy controller applied to electric vehicles with continuously variable transmission

Rede Neural Auto-Regressiva Com Entradas Exógenas (NARX) Aplicada ao Controle de Velocidade em Veículos Elétricos

Contact Info

Product

Resources

About