Design of a Switching Nonlinear MPC for Emission Aware Ecodriving

Incremona, Gian Paolo; Polterauer, Philipp

doi:10.1109/tiv.2022.3140484

Cited by 10 publications

(4 citation statements)

References 39 publications

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“…Strategi lain yang dapat dilakukan adalah dengan menggabungkan teknologi penanggulangan perubahan iklim di sektor tranpsortasi telah menunjukkan hasil yang menggembirakan. Saat ini telah dilakukan pemanfaatan teknologi maju di sektor transportasi bertujuan untuk memperluas efisiensi emisi karbon termasuk diantaranya pengembangan eco-driving control (G. P. Incremona and P. Polterauer, 2023) penggunaan artificial intelligence (AI) pada platform perdagangan karbon (Z.…”

Section: Pendahuluanunclassified

Daya Serap Ruang Terbuka Hijau Perkotaan terhadap Emisi Sektor Transportasi.

Meidiana,

Akhbar Pamungkas,

Esti Wahyudi

et al. 2024

STTI

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Beragam kegiatan perkotaan yang terdapat di guna lahan berbeda di Kota Bontang termasuk permukiman, area komersial, kawasan public dan industri telah membentuk dinamika kota Bontang termasuk adanya pergerakan manusia dan barang yang melibatkan penggunaan bahan bakar. Penggunaan bahan bakar di sub-sektor transportasi, sebagai bagian dari emisi gas rumah kaca (GRK) sektor energi, menjadi salah satu penyumbang emisi di Kota Bontang sehingga penelitian ini bertujuan untuk menganalisis kemampuan daya serap vegetasi RTH Kota Bontang teradap emisi sektor transportasi. Metode yang digunakan dalam penenlitian ini adalah perhitungan emisi dan estimasi daya serap vegetasi yang tersebar di RTH Kota Bontang baik di daratan maupun pesisir. Perhitungan emisi karbon mengacu pada Tier 2 IPCC 2006 untuk sektor transportasi sedangkan estimasi daya serap dilakukan berdasarkan jenis tutupan lahan yang ada di Kota Bontang yaitu hutan alami, hutan mangrove dan padang lamun dan luas masing-masing tutupan lahan tersebut. Hasil perhitungan emisi menunjukkan jumlah total emisi sektor transportasi di Kota Bontang adalah rata-rata 0,15 Ggton/tahun dengan trend kenaikan sekitar 2,2% pertahun. Sedangkan estimasi perhitungan daya serap menunjukkan pada tahun 2023, hutan memiliki kemampuan menyerap karbondioksida sebesar 0,4 Ggton, sedangkan hutan mangrove dan padang lamun masing-masing menyerap sebesar 6,2 Ggton dan 0,031 Ggton. Dari hasil perhitungan dapat disimpulkan bahwa RTH Kota Bontang mampu menyerap emisi dari sektor transportasi. Namun al ini tidak berarti Kota Bontang telah mampu mengatasi emisi karbon di Kota Bontang karena sektor transportasi hanya bagian dari sektor energi.

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Section: Pendahuluanunclassified

Daya Serap Ruang Terbuka Hijau Perkotaan terhadap Emisi Sektor Transportasi.

Meidiana,

Akhbar Pamungkas,

Esti Wahyudi

et al. 2024

STTI

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“…In particular, the dynamic description of the phenomena involved will be enriched. For instance, it could be appropriate to include the dynamics of the state of charge of the batteries of the CAVs [53], investigate the use of different fuel consumption models (e.g., [54], [55]), and add the description of the pollutant emissions of the traditional vehicles that make up the macroscopic traffic (see for instance [56] and [57]).…”

Section: Limitations and Extensionsmentioning

confidence: 99%

Multi-Scale Model-Based Hierarchical Control of Freeway Traffic via Platoons of Connected and Automated Vehicles

Ferrara

Incremona

Birliba

et al. 2022

IEEE Open J. Intell. Transp. Syst.

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In this paper a novel hierarchical multi-level control scheme is proposed for freeway traffic systems. Relying on a coupled PDE-ODE nominal model, capturing the interaction between the macroscopic traffic flow and a platoon of connected and automated electric vehicles (CAVs) which acts as a moving bottleneck, a high-level model predictive controller (MPC) is adopted to reduce traffic congestion and vehicle fuel consumption. This controller generates, only when necessary, i.e., according to an eventtriggered control logic, the most appropriate reference values for the platoon length and velocity. The platoon is in turn controlled, in an energy efficient way, by a distributed medium-level MPC, so as to track the reference speed values for its downstream and upstream end-points provided by the high-level MPC. The mismatch between the dynamics of the CAVs forming the platoon and their nominal dynamics is tackled via the design of local low-level robust integral sliding mode controllers, which have the capability of compensating for the mismatch. In the paper, the controlled platoon of CAVs is assumed to be immersed into a realistic traffic system with traffic demand not known in advance, which differs from the nominal prediction model used by the high-level MPC.INDEX TERMS Electric vehicles, event-triggered control, optimal control, platoon control, sliding mode control, traffic control.

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“…The corresponding "look-ahead control" has been applied to energy-efficient cruise control [23], road intersection utilization improvement [24], ride comfort enhancement [25], and fuel cell management [26]. The MPC in [27] plans gear shifting and longitudinal vehicle dynamics to maximize fuel economy while constraining NOx emissions. However, the benefits of look-ahead information were not reported.…”

Section: Introductionmentioning

confidence: 99%

A Hierarchical Economic Model Predictive Controller That Exploits Look-Ahead Information of Roads to Boost Engine Performance

Liu

Dizqah

Herreros

et al. 2023

IEEE Trans. Contr. Syst. Technol.

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Sensors and communication capabilities of connected vehicles provide look-ahead information that can be exploited by vehicle controllers. This work demonstrates the benefits of look-ahead information combined with hierarchical economic model predictive control for the airpath management of compression ignition engines. This work exploits road information predicted with a 0.1-and 2-s horizon to simultaneously control fast and slow engine dynamics, respectively. It controls the variable nozzle turbocharger and dual-loop exhaust gas recirculation, at a 0.01-s rate, to simultaneously optimize NOx, soot, and fuel economy. Simulation studies and hardware-in-loop implementation on an ARM Cortex-A15 processor demonstrate improved NOx, soot, and torque tracking without compromising fuel economy, and a worst case computation time of 8.92 ms.

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Design of a Switching Nonlinear MPC for Emission Aware Ecodriving

Cited by 10 publications

References 39 publications

Daya Serap Ruang Terbuka Hijau Perkotaan terhadap Emisi Sektor Transportasi.

Daya Serap Ruang Terbuka Hijau Perkotaan terhadap Emisi Sektor Transportasi.

Multi-Scale Model-Based Hierarchical Control of Freeway Traffic via Platoons of Connected and Automated Vehicles

A Hierarchical Economic Model Predictive Controller That Exploits Look-Ahead Information of Roads to Boost Engine Performance

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