This paper looks into recent developments and research trends in collision avoidance/warning systems automation of vehicle longitudinal/lateral control tasks. It is an attempt to provide a bigger picture the very diverse, detailed highly multidisciplinary this area. Based on diversely selected research, explains initiatives for different levels transportation system with specific emphasis vehicle-level automation. Human factor studies legal issues are analyzed as well algorithms. Drivers'...

This brief proposes the use of upcoming traffic signal information within vehicle's adaptive cruise control system to reduce idle time at stop lights and fuel consumption. To achieve this goal an optimization-based algorithm is formulated that uses short range radar predictively schedule optimum velocity trajectory for vehicle. The objectives are: timely arrival green light with minimal braking, maintaining safe distance between vehicles, cruising or near set speed. Three example simulation...

A power-split hybrid electric vehicle (HEV) combines the advantages of both series and parallel architectures by utilizing a planetary gear set to split combine power produced machines combustion engine. Because different modes operation, devising near optimal energy management strategy is quite challenging essential for these vehicles. To improve fuel economy HEV, we first formulate problem as nonlinear constrained control problem. Then two cost functions are defined model predictive (MPC)...

Good estimates of vehicle mass and road grade are important in automation heavy duty vehicles, following manoeuvres or traditional powertrain control schemes. Recursive least square (RLS) with multiple forgetting factors accounts for different rates change parameters thus, enables simultaneous estimation the time-varying piece-wise constant mass. An ad hoc modification update law gain RLS scheme is proposed used simulation experiments. We demonstrate that within 5% its actual value tracks...

We propose an urban traffic management scheme for all connected vehicle environment. If the vehicles are autonomous, example, in smart city projects or future's dense centers, then such environment does not need a physical signal. Instead, intersection control server processes data streams from approaching vehicles, periodically solves optimization problem, and assigns to each optimal arrival time that ensures safety while significantly reducing number of stops delays. The scheduling problem...

The problem of oxygen starvation in fuel cells coupled with air compressor saturation limits, is addressed this paper. We propose using a hybrid configuration, which bank ultracapacitors supplements the polymer electrolyte membrane cell during fast current transients. Our objective to avoid starvation, prevent surge and choke, simultaneously match an arbitrary level demand. formulate distribution demand between model predictive control framework, can handle multiple constraints system....

In this paper, a model predictive control (MPC) strategy is developed for the first time to solve optimal energy management problem of power-split hybrid electric vehicles. A combines advantages series and parallel hybrids by utilizing two machines combustion engine. Because its many modes operation, modeling configuration complex devising near-optimal power quite challenging. To systematically improve fuel economy hybrid, we formulate as nonlinear optimization problem. The powertrain...

Energy-management strategy plays a critical role in high fuel economy that modern hybrid electric vehicles can achieve, yet lack of information about future driving conditions is one the limitations fulfilling maximum potential vehicles. Today, with wider deployment vehicle telematic technologies, prediction conditions, e.g., road grade, becoming more realistic. This paper evaluates gain if grade integrated into energy management Real-world geometry utilized power-management decisions by...

This brief evaluates the use of terrain, vehicle speed, and trip distance preview to increase fuel economy plug-in hybrid vehicles. Access future information is classified into full, partial, or no for each case an energy management strategy with potential a real-time implementation proposed. With full knowledge driving conditions, dynamic programming (DP) provides best-achievable benchmark. A partial level has access terrain requires velocity estimation. Equivalent consumption minimization...

In this paper, we develop a fast model predictive control (MPC)-based fuel economic strategy for group of connected vehicles in urban road conditions. The proposed is decentralized nature, as every vehicle evaluates its own using only neighborhood information. Along with the vehicle-to-vehicle communication, exploit signal phase and timing information from traffic lights to computationally efficient MPC-based strategies that reduce stopping at red improve economy vehicles. simulation results...

The main contribution of this paper is the formulation a predictive optimal velocity-planning algorithm that uses probabilistic traffic-signal phase and timing (SPAT) information to increase vehicle's energy efficiency. We introduce signal-phase prediction model historically averaged data real-time determine probability green for upcoming traffic lights. In an control framework, we then calculate best velocity trajectory maximizes chance going through case study results from multisignal...

Supercapacitors benefit from unique features including high power density, long cycle life, wide temperature operation range, durability in harsh environments, efficient cycling, and low maintenance cost. This paper presents a validated lumped computationally electrical thermal model for cylindrical supercapacitor cell. The is two-state equivalent electric circuit with three parameters that are identified using temporal experiments. dependence of the on state charge, current direction...

Connected and automated vehicles (CAVs) can plan actuate control that explicitly considers performance, system safety, actuation constraints in a manner more efficient than their human-driven counterparts. In particular, eco-driving is enabled through connected exchange of information from signalized corridors share upcoming signal phase timing (SPaT). This accomplished the proposed approach, which follows first principles to free-flow acceleration-optimal trajectory green traffic light...

When current is drawn from a fuel cell, it critical that the reacted oxygen replenished rapidly by air supply system to avoid stack starvation and damage. We first explain in stand-alone there lack of control authority avoiding excessive during high demand. In hybrid configuration introduced A small auxiliary power source significantly extends starvation. To achieve best possible results without violating operational constraints system, well-devised split strategy required. formulate...

This paper presents a system integration and control strategy for managing power transients on Nexa polymer electrolyte membrane fuel cell (FC) with the assistance of an ultracapacitor (UC) module. The two degrees freedom provided by use dc/dc converters enable independent low-level dc bus voltage current split between FC UC. supervisory-level objectives are to respond rapid variations in load while minimizing damaging fluctuations maintaining UC charge (or voltage) within allowable bounds....

This paper considers modeling and energy management control problems for an automotive powertrain augmented with ultracapacitor induction motor. The ultracapacitor-supplied motor assists the engine during periods of high power demand. may be recharged via regeneration braking by low A reduced-order model a detailed simulation are created design evaluation fuel economy, respectively. heuristic rule-based controller is used testing impact different component combinations on economy. After...

This work proposes a two-stage estimation strategy to determine heavy-duty vehicle's mass and road grade. The uses standard signals available through the vehicle control area network. first stage of this approach utilizes an adaptive least-squares estimate for constant Due time-varying nature grade, nonlinear estimator that provides more-accurate grade is then developed. Simulation experimental results show, under set qualifying conditions, both can be estimated with good accuracy.

We propose optimal scheduling of autonomous vehicle arrivals at intersections, eliminating the need for physical traffic signals. The proposed intersection control algorithm is assumed to have bi-directional communication links approaching vehicles. After receiving subscription requests and status vehicles, node calculates an arrival schedule that ensures safety while significantly reducing number stops delays. vehicle-intersection coordination problem formulated as a Mixed-Integer Linear...

The advancements in communication, sensing, and computing has enabled the development of connected vehicle systems where improved decision control strategies are with aid information exchange within vehicular system. In this paper, we consider a system develop fuel economic for group vehicles congested urban road conditions. We exploit Signal Phase Timing (SPAT) from traffic lights utilize model predictive modified cost to reduce stopping at red improve economy vehicles. simulation results...

A compressor-based air supply system in a fuel cell is susceptible to saturation during fast transients load. Aggressive control of the compressor may result surge or choke, disrupt flow into cathode stack, and negatively impact power generation. Low partial oxygen pressure caused by rapid increase load also damage stack reduce its life. governor can be added monitor prevent violation constraints (compressor surge, pressure) modifying command system. In this paper, we present steps involved...