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Heads up, Ford owners: 83,000 vehicles recalled over headlight glitch and engine trouble
A fresh round of safety recalls is putting more than 83,000 vehicles from Ford Motor Company back under the spotlight in the United States. The automaker is addressing two separate problems that ...
GM is recalling 11,787 model year 2025-2026 Chevrolet Silverado 3500 and GMC Sierra 3500 trucks over an engine stall risk. A faulty rear fuel pump may fail to transfer fuel properly, potentially ...
Ford is recalling 35,772 model year 2025-2026 Explorer SUVs due to headlight issues and 47,804 model year 2025 vehicles over ...
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GM recall alert: Some pickups may stall with fuel still in the tank
General Motors has issued a safety recall covering 2025 and 2026 model year Chevrolet Silverado 3500 and GMC Sierra 3500 gasoline pickup trucks equipped with dual fuel tanks. A software flaw in the ...
Chevy Silverado HD and GMC Sierra HD trucks for a software issue that could disable fuel transfer and cause engine stalling.
No matter how robust they are, heavy-duty trucks aren’t immune to problems. The segment has seen a string of recalls lately, ...
The Ford F-150 is by far one of the most popular pickup trucks of all time, but even that hasn't stopped Ford from putting some stinker engines in them.
Made in Tennessee, the Nissan Rogue is a best-selling SUV under fire due to two big recalls. Can it still be called reliable?
Few federal agencies have undertaken as many star-crossed technology upgrades as the Federal Aviation Administration. Its latest overhaul — forthrightly called the “brand new air traffic control ...
Ford had quite the number of recalls last year, and the Blue Oval is already racking up a tally for 2026, with the brand announcing a recall of nearly 4.4 million vehicles over a faulty trailer ...
Abstract: This paper studies a hierarchical model predictive control (MPC) strategy to optimize the powertrain and aftertreatment systems for connected diesel-powered vehicles. With the development of ...
Abstract: This article presents a novel approach of using convex optimization to solve an optimal control problem with a linear system subject to general nonconvex control constraints and convex state ...
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