2018
DOI: 10.1016/j.energy.2017.12.138
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Hierarchical control strategy with battery aging consideration for hybrid electric vehicle regenerative braking control

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Cited by 112 publications
(70 citation statements)
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“…The low frequency component of the power requested on the DC bus will be used as input for the LFW control. The low frequency component can be easily obtained using a low-pass filter [64] in comparison with other more complex techniques based on rules [65] or artificial intelligence concepts [66,67]. In this paper the low frequency component has been obtained via an averaging technique, but the use of low-pass filter with 0.1 Hz cut-off frequency has been tested as well.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The low frequency component of the power requested on the DC bus will be used as input for the LFW control. The low frequency component can be easily obtained using a low-pass filter [64] in comparison with other more complex techniques based on rules [65] or artificial intelligence concepts [66,67]. In this paper the low frequency component has been obtained via an averaging technique, but the use of low-pass filter with 0.1 Hz cut-off frequency has been tested as well.…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, the performance obtained with the Air-LFW strategy proposed in this study can be compared with those obtained with the Air-LFW Fuel-GES strategy [66] (which, besides the GES control for the boost controller, uses a second GES control to search the best fuel economy using the fuel regulator) as follows:…”
Section: Discussionmentioning
confidence: 99%
“…This question was also stated in Figure 3. The performance of battery packs, mostly Li-Ion batteries, are discussed in terms of aging in [55,57,[90][91][92][93], in terms of temperature impact in [94,95] and also of state of balance/ health [96], in terms of both aging and temperature of operation in [56], in terms of both aging and sizing in [97], and in terms of both aging and energy management/power estimation in [98][99][100]. Also, the experimental settlement has a strong influence on the outcomes reported, and for that reason we can find out contradictory results in many papers.…”
Section: Discussionmentioning
confidence: 99%
“…The optimal control of braking efficiency and energy recovery cannot be guaranteed with fixed slip ratio on different tire-road adhesion conditions. Through monitoring and identification of tire-road adhesion conditions in real time, the OSR is output as the control target value to ensure braking performance [18,19]. Process of IRBCS based on OSR is shown in Figure 2.…”
Section: Control Principle Overview Of Irbcsmentioning
confidence: 99%
“…Several mature tire-road models based on empirical and analytical can be selected [13]. A braking force distribution strategy is proposed in [19] based on the estimation of the tire-road friction coefficient using a fuzzy logic estimation approach. In this paper, the empirical model 'Burckhardt tire model' is selected because of its suitability for tire behavior simulation, as shown in Figure 3(a) and Table 1.…”
Section: Tire-road Adhesion Coefficient Recognition Module (Tacrm)mentioning
confidence: 99%