Criteria for Coasting on Highways for Passenger Cars

Koch-Groeber, Hermann; Wang, Jue

doi:10.4271/2014-01-1157

Cited by 25 publications

(15 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [10] the performance of coasting was analyzed for constant speed phases on highway, with slope information included. The focus was on conventional vehicles and two main topics were addressed: coasting initiation and influence of boost acceleration before coasting.…”

Section: State Of the Artmentioning

confidence: 99%

“…With the definitions from (8) and (10), the matrices involved in the QP formulation can be expressed as:…”

Section: A Mpc Formulationmentioning

confidence: 99%

“…In [10] an analytical approach was introduced for coasting initiation, by writing the energy balance i.e. work and kinetic and potential energy variation.…”

Section: B Problem Formulation and Proposed Solutionmentioning

confidence: 99%

“…In this case, no pedal is pressed, the driveline is disengaged and thus, the vehicle is slowed down by resistive forces only. The benefit in fuel gain for conventional vehicles was analyzed in [9], [10], but existing MPC techniques do not include this feature to the best of the authors' knowledge. For a hybrid vehicle, an extension is possible, which includes energy recovery.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis

Stroe¹,

Olaru²,

Colin³

et al. 2019

IEEE Trans. Intell. Veh.

View full text Add to dashboard Cite

The focus of this work is to exploit the potential of model predictive control for the energy management of hybrid electric vehicles. The global framework covers the power distribution between the internal combustion engine and the electric machine(s) in order to minimize the fuel consumption. Current technologies allow the forecast of speed profile and road grade making predictive control a viable solution. The gears within the prediction model are assumed to be pre-calculated at a higher level and therefore, only the torque split problem needs to be addressed by the energy management mechanism. Engine stop can improve fuel gain which is even more noticeable for hybrid vehicles and hence, its inclusion is naturally considered in the present study. Furthermore, optimization of the speed profile is addressed by introducing the freewheeling functionality.

show abstract

Section: State Of the Artmentioning

confidence: 99%

“…With the definitions from (8) and (10), the matrices involved in the QP formulation can be expressed as:…”

Section: A Mpc Formulationmentioning

confidence: 99%

“…In [10] an analytical approach was introduced for coasting initiation, by writing the energy balance i.e. work and kinetic and potential energy variation.…”

Section: B Problem Formulation and Proposed Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis

Stroe¹,

Olaru²,

Colin³

et al. 2019

IEEE Trans. Intell. Veh.

View full text Add to dashboard Cite

show abstract

“…The use of eco-friendly ADAS (Eco-ADAS) to enhance energy efficiency has also been extensively investigated [14], [15]. It is necessary to develop an advanced driver assistance system (ADAS) in order to provide practical energy savings as a semi-autonomous driving concept that can be regarded as Level 2 or 3 autonomous driving, even though CAV technology is expected to provide a progressive perspective in the future.…”

Section: Introductionmentioning

confidence: 99%

Parameterized Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Real-Time Dynamic Programming Approach

Kim

2021

IEEE Access

View full text Add to dashboard Cite

This paper presents a vehicle speed planning system called the energy-optimal deceleration planning system (EDPS), which aims to maximize energy recuperation of regenerative braking of connected and autonomous electrified vehicles. A recuperation energy-optimal speed profile is computed based on the impending deceleration requirements for turning or stopping at an intersection. This is computed to maximize the regenerative braking energy while satisfying the physical limits of an electrified powertrain. To obtain smooth optimal deceleration speed profiles, optimal deceleration commands are determined by a parameterized polynomial-based deceleration model that is obtained by regression analyses with real vehicle driving test data. The design parameters are dependent on preview information such as residual time and distance as well as target speed. The key design parameter is deceleration time, which determines the deceleration speed profile to satisfy the residual time and distance constraints as well as the target speed requirement. The time-varying bounds of deceleration commands corresponding to the physical limits of the powertrain are deduced from realistic deceleration test driving. For validation and comparisons of the EDPS with different preview distances, driving simulation tests with a virtual road environment and vehicleto-infrastructure connectivity are presented. It is shown that the longer preview distance in the EDPS, the more energy-recuperation. In comparison with driver-in-the-loop simulation tests, EDPS-based autonomous driving shows improvements in energy recuperation and reduction in trip time.INDEX TERMS Eco-driving, Optimal speed planning, Optimal control, Dynamic programming, Energyefficient regenerative braking, Electrified vehicles, Connected and autonomous vehicles.

show abstract

Predictive operation strategy for hybrid vehicles

Wang

Koch-Groeber²

2015

Proceedings

View full text Add to dashboard Cite

Criteria for Coasting on Highways for Passenger Cars

Cited by 25 publications

References 4 publications

Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis

Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis

Parameterized Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Real-Time Dynamic Programming Approach

Predictive operation strategy for hybrid vehicles

Contact Info

Product

Resources

About