Representing the Accumulator Ageing in an Automotive Lead-Acid Battery Model

Luiz, Saulo O. D.; Souza, Eduardo Godoy de; Lima, A.M.N.

doi:10.1007/s40313-021-00803-z

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…Analogously, for low-altitude regions such as Singapore, the ambient temperature in summer can be high, plus there is the urban heat island effect. Worse still, unlike fossil fuel, which is burned after use, the entity of the LIB is retained posterior to flight [15], making its performance deteriorate with increasing cycle numbers as a result of the aging effect [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Electric Flight in Extreme and Uncertain Urban Environments

Wang,

Luiz,

Zhang

et al. 2023

Sustainability

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In a typical application scenario for electric aircraft, the emerging urban air mobility is faced with uncertain environmental conditions. To investigate the potential influence of uncertainties, this paper first develops comprehensive models of aircraft rigid body motion and electric propulsive performance. The urban environment model is built with emphasis on wind speed and the heat island effect. Thereafter, a flight guidance law augmented with nonlinear dynamic inversion is proposed to facilitate the performance evaluation of electric aircraft. Multiple simulations at various dates, times, and with different battery aging statuses are conducted. The results show that the battery aging effect and ambient temperature change are the most important factors that influence the aircraft performance. Suggestions to enhance the performance are given based on simulations.

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Section: Literature Reviewmentioning

confidence: 99%

Electric Flight in Extreme and Uncertain Urban Environments

Wang,

Luiz,

Zhang

et al. 2023

Sustainability

Self Cite

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“…The lead acid battery used was manufactured by PANASONIC, based in Secaucus, New Jersey, USA. The lead acid battery used in this study was of the type LC-R1233P with a capacity of 33Ah and a nominal voltage of 12 V [21,24]. The datasheet of the battery used is shown in Table 3.…”

Section: Lead Acid Battery Modellingmentioning

confidence: 99%

Adaptive Controller of Bidirectional DC-DC Converter Based on Extreme Learning Machine for Electric Vehicle

2022

IJIES

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This paper proposed a novel adaptive controller of a non-isolated bidirectional coupled inductor DC converter based on an extreme learning machine (ELM) for electric vehicles. MATLAB and SIMULINK are used as the software platform to simulate the proposed method. Different operating conditions are considered to show the efficacy of the extreme learning machine. From the simulation results, it is found that by designing the controller based on an extreme learning machine the controller can automatically adjust the value depending on the operating conditions (motor moving forward, backward, and regenerative braking). In addition, the performance of the motor with DC converter based on ELM is compared with DC converter based on grey wolf optimization and based on conventional PI controller. This is indicated by the overshoot and the settling time is much better when using controller based on an extreme learning machine (overshoot 221.6 and settling time 3.8 second).

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“…The battery model in this case is composed of a diffusion model [20] and an electrical model. The state of charge A(t) is the percentage of the battery capacity that is available for discharge [28].…”

Section: Battery Modelingmentioning

confidence: 99%

Trade-off between flight performance and energy consumption of a quadrotor

Tavares¹,

Luiz²,

Lima³

2022

Preprint

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<p>This paper studies analytically and quantitatively the influence of the power source on the dynamic performance of the altitude control system of a quadrotor powered by an electrochemical battery. This paper also proposes the formulation of the altitude as a constrained optimization problem in which the drone, actuators, control law, and electrochemical battery models are considered, to define a trade-off between the power consumption rate and the closed-loop dynamic performance loss. An analytical representation of the effect of the battery discharge over the altitude dynamics is obtained through a linear approximation, enabling an analysis of the system poles. The problem of designing an altitude controller is then posed as a constrained optimization problem that can include the battery as a factor. A comparison of the error dynamics between the cases of the battery-unaware controller design and the battery-aware controller design is performed in simulations and experimental flight tests. The results lead to the following conclusions: i. the analytical demonstration agrees with the worse performance observed in the in-flight dynamics as the battery discharges and ii. through a battery-aware controller design approach this effect can be diminished, at the cost of a trade-off in the battery discharge rate.</p>

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Representing the Accumulator Ageing in an Automotive Lead-Acid Battery Model

Cited by 5 publications

References 25 publications

Electric Flight in Extreme and Uncertain Urban Environments

Electric Flight in Extreme and Uncertain Urban Environments

Adaptive Controller of Bidirectional DC-DC Converter Based on Extreme Learning Machine for Electric Vehicle

Trade-off between flight performance and energy consumption of a quadrotor

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