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Least reliable cars and trucks of 2022

Related: Most reliable cars and trucks of 2022   Every year, Consumer Reports ranks new cars based on their predicted reliability. We often see Toyota, Lexus, and a few other automakers near the top. But on the other side of the coin, the list of least reliable vehicles sometimes contains surprises.   The organization surveys its members to determine the vehicles that exhibited the most problems over the prior year. Owners are asked about creaks and rattles, the durability of parts and trim, and mechanical issues. Consumer Reports assigns a weight to each problem and then uses them to create a score, with 100 being the best. Some familiar names appear on the list of least reliable vehicles (in order with the lowest predicted reliability score at the top), but there are a few eyebrow-raising models, followed by CR's score: Ford F-150 Hybrid: 4 Hyundai Kona Electric: 5 Lincoln Aviator: 8 Nissan Sentra: 9 Ford Explorer: 16 Chevrolet Bolt: 17 Chevrolet Silverado 1500/GMC Sierra 1500: 19 Jeep Gladiator: 21 Mercedes-Benz GLE: 23 Jeep Wrangler: 24 Consumer Reports noted that sedans are the most reliable vehicle category and found that trucks are far lower on the list. That said, the survey showed that trucks from American brands tended to have better reliability scores, so it’s surprising to see GMÂ’s big two and the Ford F-150 on the list. Part of their problematic ownership experience could be due to the fact that all three trucks have received recent updates, and the Ford was completely redesigned for 2022. New tech, fresh drivetrain components, and other improvements can upset the balance of reliability and make newer models look less dependable than their older counterparts. Related video: Green Chevrolet Ford GMC Hyundai Jeep Lincoln Mercedes-Benz Nissan Car Buying Truck Crossover Hatchback SUV Electric Hybrid Sedan Consumer Reports reliability

Ward's calls out Ford's EcoBoost engines for their crummy fuel economy

With a name like EcoBoost, one might expect Ford's line of turbocharged engines to be somewhat, um, economical. In other words, replacing displacement with a turbocharger is supposed to deliver better fuel economy. Based on the experience time and time again of multiple Autoblog editors, your author included, this is simply not the case. Now, Ward's is calling out the cruddy efficiency numbers of Ford's EcoBoost line of engines. The column dresses down not just the new 2.7-liter V6 of the 2015 F-150, but also the 2.3-liter of the Mustang, the 1.5-liter from the Fusion and the 3.2-liter PowerStroke diesel found in the Transit, while also explaining why just one Ford engine was named to Ward's 10 Best Engines list. In its testing of all four engines, Ward's editors never came even remotely close to matching the 2.7's claimed 26 miles per gallon (for two-wheel-drive models), with the truck's computer indicating between 17.6 and 19 mpg over a 250-odd-mile run. Calculating the fuel economy manually revealed an even more depressing 15.6 miles per gallon. Criticisms with the 2.3-liter four-cylinder focused on its strange soundtrack, although it was business as usual with the 1.5-liter and 3.2 diesel, with Ward's criticizing the fuel economy of both engines. The 1.5, which Ward's claims is sold as a hybrid alternative, failed to get over 30 miles per gallon, while the five-cylinder turbodiesel's figures couldn't stand up against FCA's 3.0-liter EcoDiesel. The entire column really is worth a read, especially if you were disappointed in Ward's decision to only salute Ford's three-cylinder EcoBoost while shunning the rest of the company's new turbocharged mills.

Ford partnering with MIT, Stanford on autonomous vehicle research

Ask any car engineer what's the biggest variable in achieving fuel economy targets, and he'll tell you "the driver." If one human can't understand human driving behavior enough to be certain about an innocuous number like miles per gallon, how is an autonomous car supposed to figure out what hundreds of other drivers are going to do in the course of a day? Ford has enlisted the help of Stanford and the Massachusetts Institute of Technology to find out.
Starting with the automated Fusion Hybrid introduced in December, MIT will be developing algorithms that driverless cars can use to "predict actions of other vehicles and pedestrians" and objects within the three-dimensional map provided by its four LIDAR sensors.
The Stanford team will research how to extend the 'vision' of that LIDAR array beyond obstructions while driving, analogous to the way a driver uses the entire width of a lane to see what's ahead of a larger vehicle in front. Ford says it wants to "provide the vehicle with common sense" as part of its Blueprint for Mobility, preparing for an autonomous world from 2025 and beyond.