Estimation of fuel consumption in a hybrid electric refuse collector vehicle using a real drive cycle

Postprint (published version

Safe driving in a green world : a review of driver performance benchmarks and technologies to support ‘smart’ driving

Road transport is a significant source of both safety and environmental concerns. With climate change and fuel prices increasingly prominent on social and political agendas, many drivers are turning their thoughts to fuel efficient or ‘green’ (i.e., environmentally friendly) driving practices. Many vehicle manufacturers are satisfying this demand by offering green driving feedback or advice tools. However, there is a legitimate concern regarding the effects of such devices on road safety – both from the point of view of change in driving styles, as well as potential distraction caused by the in-vehicle feedback. In this paper, we appraise the benchmarks for safe and green driving, concluding that whilst they largely overlap, there are some specific circumstances in which the goals are in conflict. We go on to review current and emerging in-vehicle information systems which purport to affect safe and/or green driving, and discuss some fundamental ergonomics principles for the design of such devices. The results of the review are being used in the Foot-LITE project, aimed at developing a system to encourage ‘smart’ – that is safe and green – driving

Power Management of a Plug-in Hybrid Electric Vehicle Based on Cycle Energy Estimation

2012 Workshop on Engine and Powertrain Control,Simulation and ModelingThe International Federation of Automatic ControlRueil-Malmaison, France, October 23-25, 2012Plug-in Hybrid Electric Vehicles (PHEV) are being investigated in many research and development programs motivated by the urgent need for more fuel-efficient vehicles that produce fewer harmful emissions. There are many potential advantages of hybridization such as the improvement of transient power demand, the ability of regenerative braking and the opportunities for optimization of the vehicle efficiency. The coordination among the various power sources requires a high level of control in the vehicle. In order to solve the power management problem, the controller proposed in this work is divided into two levels: the upper one calculates the power that must be supplied by the engine at each moment taking into account the estimation of the energy that must be supplied by the powertrain until the end of the journey. The lower one manages the torque/speed set points for all the devices. Besides, the operation modes are changed according to some heuristic rules. Several simulation results are presented, showing that the proposed control strategy can provide good performance with low computational load

Effectiveness and welfare impacts of alternative polices to address atmospheric pollution in urban road transport.

n this paper we compare the effectiveness and welfare effects of alternative fuel efficiency, environmental and transport policies for a given urban area. The urban transport activities are represented as a set of interrelated markets, one for each mode of transport and type of vehicle. For each market, four different marginal external costs are computed in the present equilibrium: air pollution, accidents, noise and congestion. The gap between marginal social costs and prices shows that congestion and unpaid parking are the dominant sources of inefficiencies. Air pollution costs are significant as well. The effects of a typical air quality policy (regulation of car emission technology) and two typical fuel based policies (minimum fuel efficiency policy and fuel taxes) are compared with the effects of three alternative transport policies (full external cost pricing, cordon pricing, parking charges). Regulation of emission technology and of fuel efficiency do not necessarily lead to welfare gains, whereas transport pricing policies yield substantial gains for the urban area under study.

Effectiveness and Welfare Impacts of Alternative Policies to Address Atmospheric Pollution in Urban Road Transport

In this paper we compare the effectiveness and welfare effects of alternative fuel efficiency, environmental and transport policies for a given urban area. The urban transport activities are represented as a set of interrelated markets, one for each mode of transport and type of vehicle. For each market, four different marginal external costs are computed in the present equilibrium: air pollution, accidents, noise and congestion. The gap between marginal social costs and prices shows that congestion and unpaid parking are the dominant sources of inefficiencies. Air pollution costs are significant as well. The effects of a typical air quality policy (regulation of car emission technology) and two typical fuel based policies (minimum fuel efficiency policy and fuel taxes) are compared with the effects of three alternative transport policies (full external cost pricing, cordon pricing, parking charges). Regulation of emission technology and of fuel efficiency do not necessarily lead to welfare gains, whereas transport pricing policies yield substantial gains for the urban area under study.

Development of Eco-Friendly Ramp Control for Connected and Automated Electric Vehicles

With on-board sensors such as camera, radar, and Lidar, connected and automated vehicles (CAVs) can sense the surrounding environment and be driven autonomously and safely by themselves without colliding into other objects on the road. CAVs are also able to communicate with each other and roadside infrastructure via vehicle-to-vehicle and vehicle-to-infrastructure communications, respectively, sharing information on the vehicles’ states, signal phase and timing (SPaT) information, enabling CAVs to make decisions in a collaborative manner. As a typical scenario, ramp control attracts wide attention due to the concerns of safety and mobility in the merging area. In particular, if the line-of-the-sight is blocked (because of grade separation), then neither mainline vehicles nor on-ramp vehicles may well adapt their own dynamics to perform smoothed merging maneuvers. This may lead to speed fluctuations or even shockwave propagating upstream traffic along the corridor, thus potentially increasing the traffic delays and excessive energy consumption. In this project, the research team proposed a hierarchical ramp merging system that not only allowed microscopic cooperative maneuvers for connected and automated electric vehicles on the ramp to merge into mainline traffic flow, but also had controllability of ramp inflow rate, which enabled macroscopic traffic flow control. A centralized optimal control-based approach was proposed to both smooth the merging flow and improve the system-wide mobility of the network. Linear quadratic trackers in both finite horizon and receding horizon forms were developed to solve the optimization problem in terms of path planning and sequence determination, and a microscopic electric vehicle (EV) energy consumption model was applied to estimate the energy consumption. The simulation results confirmed that under the regulated inflow rate, the proposed system was able to avoid potential traffic congestion and improve the mobility (in terms of average speed) as much as 115%, compared to the conventional ramp metering and the ramp without any control approach. Interestingly, for EVs (connected and automated EVs in this study), the improved mobility may not necessarily result in the reduction of energy consumption. The “sweet spot” of average speed ranges from 27–34 mph for the EV models in this study.View the NCST Project Webpag