The battery state of charge, how to size the battery, as well as hydrogen consumption. This next step in virtual benchmarking using Simcenter Amesim helped to define 3 main things. From that defined concept, the group was able to precisely virtually assess where energy recovery could happen during braking and load lowering. Such a system enables the recharge of the battery and improves systems’ lifetime.Īt that stage, Rob converted the conventional benchmark model into the electrified version. In this case, the battery can store and benefit from energy recovery from load lowering and breaking. The team chose a hybrid approach combining fuel cell as well as battery. The group made the selection based on ranking categories and drivetrain concepts to determine the best-ranked concept. “Once we got our benchmark model and our truck duty cycle, we were finally set to come up with an electric powertrain concept that fits the truck needs”, explains Rob. Virtually explore and validate the electric machine concept This energy can be recovered using electric storage. Over the measurement campaigns, Rob’s team identified an opportunity to recover up to 15 percent potential energy especially during load lowering and braking phases. One major finding identified during this benchmark test was the need to improve energy recovery. Capturing real life data on different duty constraints and usage to optimize the energy recovery system Those measurement campaigns enabled the team to define various duty cycles, depending on the nature of the application, with different patterns of energy distribution. They measured the performance of their machines with sensors over long durations. Consequently, the team went to various customers to capture multiple types of data (GPS, lift, hydraulic pressures, etc.). However, in real life, machines are subject to so many different duty constraints and usage. Modeling the conventional truck systems using system simulation Collecting real-life data to refine model complexity That analysis allowed them to compare the test-data results (vehicle speed, lift height, engine speed/power/torque, fuel consumption, etc.) with the Simcenter Amesim model results to refine and validate the model. There they captured data over predefined cycle steps. To make the model even more representative of a real-life system, the team instrumented one truck at their premises. “We were able to develop our model thanks to pre-defined components on Simcenter Amesim”, said Rob. They also identified all the parameters of the machine components that they could virtually capture in the sketch,įrom that raw model of the truck, Rob’s group was able to identify where they could simplify and make some assumptions but still keep a model that would deliver accurate results. To proceed they divided the machine into different systems and sub-systems. They analyzed the energy flows through different areas of the truck. Using Simcenter Amesim, the Simcenter system simulation solution, the team captured the machine architecture into a virtual sketch. Know your kilowattīefore exploring what the power options for electrification were, the engineering team virtually modeled the current machine. They came up with one design to fit all the market expectations and regulations without compromising development time or cost. The team used simulation to virtually explore all the possibilities. During the last Siemens Realize Live event, Rob explained how, with his team, they succeeded in converting a Laden Container Handler into an electrified machine. He has a focus on testing and simulation of the equipment. He is part of the Innovation & projects team at Hyster Yale Big Truck development center. Rob Damen is a project engineer at Hyster Yale, based in the Netherlands. Indeed it should offer similar or better operational performance as a conventional machine over duty cycles. Converting a 120 tons gross weight machine (80 for the machine and 40 tons for the lifted load) into an electric vehicle is not a straightforward process. To maintain its position as the market leader in heavy forklift machinery, Hyster-Yale has to consider the conversion of its machines from fuel-powered to fully electric versions. In doing so, has focused on the emissions of their handling equipment. It offers its customers a broad line of products and power options.Īs a responsible global operation, the company has begun to address climate and environmental concerns. Hyster-Yale is one of the biggest suppliers of handling equipment. To optimize their logistics at major ports and terminals, FREIT uses high-performance and reliable container handling equipment. Or an average of 1.3 million containers handled daily. The estimated volume of international freight movement for 2020 was around 4 million tons per day.
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